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  • Computer networks ; Security measures
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  • 1
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (500 pages) , illustrations
    Edition: First edition.
    DDC: 005.75/65
    Keywords: MySQL (Electronic resource) ; Database management ; Relational databases ; Bases de données ; Gestion ; Bases de données relationnelles
    Abstract: Geared to intermediate- to advanced-level DBAs and IT professionals looking to enhance their MySQL skills, this guide provides a comprehensive overview on how to manage and optimize MySQL databases. You'll learn how to create databases and implement backup and recovery, security configurations, high availability, scaling techniques, and performance tuning. Using practical techniques, tips, and real-world examples, authors Arunjith Aravindan and Jeyaram Ayyalusamy show you how to deploy and manage MySQL, Amazon RDS, Amazon Aurora, and Azure MySQL. By the end of the book, you'll have the knowledge and skills necessary to administer, manage, and optimize MySQL databases effectively.
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  • 2
    ISBN: 9781098131852 , 1098131851
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 005.8
    Keywords: Computer network architectures ; Cyberinfrastructure Security measures ; Computer networks Security measures ; Computer networks ; Security measures
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  • 3
    ISBN: 9781484298992 , 1484298993
    Language: English
    Pages: 1 online resource (xxviii, 588 pages) , illustrations (chiefly color)
    Edition: Fourth edition.
    Parallel Title: Erscheint auch als
    Keywords: Oracle (Computer file) ; Database management ; Relational databases ; Bases de données ; Gestion ; Bases de données relationnelles
    Abstract: Master Oracle Database administration in both on-premises and cloud environments. This new edition covers the tasks you'll need to perform to keep your databases stable, tuned, and running. The book also includes administrative tasks specific to cloud environments, including the Oracle Autonomous Database running in the Oracle Cloud Infrastructure. New in this edition is help for DBAs who are becoming involved in data management, and a look at the idea of a converged database and what that means in handling various data types and workloads. The book covers some of the machine learning features now in Oracle and shows how the same SQL that you know for database administration also helps you with data management tasks. The information in this book helps you to apply the right solution at the right time, mitigating risk and making robust choices that protect your data and avoid midnight phone calls. Data management is increasingly a DBA function, and DBAs are often called upon for help in getting data loaded into analytics environments such as a data lakehouse or a data mesh. This book addresses this fast-growing new role for database administrators and helps you build on your existing knowledge to make the transition into a new skill set that is in high demand. You'll learn how to look at data optimization from the standpoint of data analysis and machine learning so that you can be seen as a key player in preparing your organization's data for those type of activities. You'll know how to pull back information from a combination of relational tables and JSON structures. You'll become familiar with the tools that Oracle Database provides to make analytics easier and more straightforward. And you'll learn simpler ways to manage time-based tables that eliminate the need for painfully creating triggers to track the history of row changes over time. This book builds your skills as an Oracle Database administrator with the aim of helping you to be seen as a key player in data management as your organization pivots toward cloud computing and a greater use of machine learning and analytics technologies. What You'll Learn Configure and manage Oracle 23c databases both on-premises and in the cloud Meet your DBA responsibilities in the Oracle Cloud and with Database Cloud Services Perform administrative tasks for Autonomous Database dedicated environments Perform DBA tasks and effectively use data management tools Migrate from on-premises to the Oracle Cloud Infrastructure Troubleshoot issues with Oracle 23c databases and quickly solve performance problems Architect cloud, on-premises, hybrid, and multi-cloud database environments .
    Note: Includes index. - Online resource; title from PDF title page (SpringerLink, viewed December 6, 2023)
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  • 4
    ISBN: 9781837634231 , 1837634238
    Language: English
    Pages: 1 online resource (260 p.) , illustrations
    DDC: 005.74
    Keywords: Data structures (Computer science) ; Database management ; Salesforce (Online service) ; Structures de données (Informatique) ; Bases de données ; Gestion ; Salesforce (Serveur)
    Abstract: Master Salesforce DevOps while exploring deployment, packages, Git workflows, and organizational monitoring using third-party tools such as Salesforce DX, GitHub, Jenkins, Gearset, and Copado Key Features Learn to build a DevOps culture to mitigate project risks and boost return on investment (ROI) Delve into the principles of DevOps and how to apply them in Salesforce for maximum efficiency Explore Salesforce DevOps tools, with examples and strategies for building a robust DevOps stack Purchase of the print or Kindle book includes a free PDF eBook Book Description As the Salesforce Platform evolves into an increasingly complex landscape, architects face a growing demand for advanced solutions. The key to successful Salesforce projects lies in effective DevOps practice, and this book helps you achieve just that by offering strategic and practical insights into Salesforce components. The book starts by cultivating a DevOps mindset, focusing on collaboration, coordination, and communication, and learning how to efficiently demonstrate governance, visibility, and accountability. Building upon this architectural foundation, you'll delve into tools and techniques to plan your strategy using the capabilities of SFDX. Once you've gotten to grips with Salesforce packaging, you'll learn how to build a CI/CD stack with freely available software and configure it for automated change delivery. You'll then address the operational concerns of a mature DevOps process as you explore topics such as ticket management, backups, change monitoring, and data seeding--essential for maintaining a clean and healthy Salesforce org. Finally, you'll learn about the ecosystem of third-party solutions, which provide out-of-the-box capabilities to accelerate your Salesforce DevOps journey. By the end of this book, you'll have demystified Salesforce DevOps, empowering you to deliver Salesforce projects with the expertise of a DevOps professional. What you will learn Grasp the fundamentals of integrating a DevOps process into Salesforce project delivery Master the skill of communicating the benefits of Salesforce DevOps to stakeholders Recognize the significance of fostering a DevOps culture and its impact on Salesforce projects Understand the role of metrics in DevOps architecture within Salesforce environments Gain insights into the components comprising a Salesforce DevOps toolchain Discover strategies for maintaining a healthy Salesforce org with a variety of supporting DevOps tools Who this book is for If you are a Salesforce architect or senior developer looking to bring DevOps best practices to your projects, this book is for you. To learn from this book, you should have a strong familiarity with Salesforce platform development both in code and low-code, understand concepts such as metadata, JSON, and XML, and feel at ease with command-line operations.
    Note: Includes index. - Description based upon print version of record. - Scratch orgs
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  • 5
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Database management ; Big data ; Architecture logicielle ; Bases de données ; Gestion ; Données volumineuses ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Join Neal Ford and Zhamak Dehghani for a discussion about the challenges of creating, sharing, and finding data and making your data work for you. With the rise of generative AI, companies need to manage large quantities of data and are looking at distributed data systems and data mesh to solve this challenge. The problem consists in getting from their existing data storage to a distributed data system that works for all stakeholders. As the originator of the concept of data mesh, and because of her ongoing work with scaling decentralized data, Zhamak is well positioned to provide updates and advice on this more holistic approach to data management. What's New in Software Architecture gives you a chance to explore trending topics in software architecture and to ask Neal and Zhamak Dehghani anything you want about data mesh, how to begin making the move to decentralized data, and their own career journeys. We will spend a few minutes covering the trends that are influencing software architecture and then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Understand what a data mesh is and how it differs from other methods of storing and sharing data Learn the key data characteristics you need to be a data-led organization Explore the tools that can help you make the move to data mesh This live course is for you because... You want to hear from Neal Ford and Zhamak Dehghani about software architecture and data mesh. Recommended Follow-Up: Read Building an Event-Driven Data Mesh (book) Read Data Mesh (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 6
    Language: English
    Pages: 1 online resource (90 pages) , illustrations
    Edition: First edition.
    DDC: 005.75/65
    Keywords: Database management ; Cloud computing
    Abstract: Data virtualization had been held back by complexity for decades until recent advances in cloud technology, data lakes, networking hardware, and machine learning transformed the dream into reality. It's becoming increasingly practical to access data through an interface that hides low-level details about where it's stored, how it's organized, and which systems are needed to manipulate or process it. You can combine and query data from anywhere and leave the complex details behind. In this practical book, authors Dr. Daniel Abadi and Andrew Mott discuss in detail what data virtualization is and the trends in technology that are making data virtualization increasingly useful. With this book, data engineers, data architects, and data scientists will explore the architecture of modern data virtualization systems and learn how these systems differ from one another at technical and practical levels. By the end of the book, you'll understand: The architecture of data virtualization systems Technical and practical ways that data virtualization systems differ from one another Where data virtualization fits into modern data mesh and data fabric paradigms Modern best practices and case study use cases.
    Note: "Early release, raw & unedited.". - "Compliments of Starburst."
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  • 7
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Cham : Springer International Publishing AG
    ISBN: 9789819982707 , 9819982707
    Language: English
    Pages: 1 Online-Ressource (XI, 469 Seiten) , 190 illus., 169 illus. in color.
    Edition: 1st ed. 2024
    Parallel Title: Erscheint auch als China’s e-Science Blue Book 2023
    DDC: 303.483
    Keywords: Science Social aspects ; Computational intelligence ; Database management ; Economic history ; Science and Technology Studies ; Computational Intelligence ; Database Management System ; Economy-wide Country Studies
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  • 8
    ISBN: 9798868803031
    Language: English
    Pages: 1 online resource (xx, 230 pages) , illustrations
    Keywords: Database management ; Cloud computing ; Bases de données ; Gestion
    Abstract: This book focuses on the utilization of GoldenGate Services (GGS) in conjunction with a microservices architecture on the Oracle cloud (OCI), primarily for data migration and integration across various data sources and targets. The book begins with a practical example of utilizing GGS on a Marketplace VM, progressively advancing to in-depth discussions on implementing GoldenGate as a Service on OCI. The book offers illustrative guides for data replication between RDBMSs (such as Oracle, Postgres, and big data targets such as Kafka). Additionally, it explores monitoring techniques using Enterprise Manager and Grafana dashboards. A comparative analysis is presented between traditional VM-based GoldenGate installations and the OCI service model. Special attention is given to Zero Downtime Migration (ZDM) and leveraging GGS for database migration from on-premises to OCI. Some chapters address multi-cloud replication using OCI GGS and include real-life case studies. By the end of this book you will have gained comprehensive insights into the architectural design of GoldenGate Services and will be adept at replicating data using GGS, enabling you to replicate setups in your own environments. What You Will Learn Set up GoldenGate Services for high availability (HA), disaster recovery (DR), migration of data to cloud, and moving data into the data lake or lakehouse Perform logical migration of data to the cloud using the ZDM tool (ZDM uses GoldenGate internally). Replicate data to big data targets Monitor GGS using Enterprise Manager and Grafana Replicate data in a multi-cloud environment.
    Note: Includes index. - Online resource; title from PDF title page (SpringerLink, viewed May 3, 2024)
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  • 9
    Orig.schr. Ausgabe: 初版.
    Title: データエンジニアリングの基礎 : : データプロジェクトで失敗しないために /
    Publisher: 東京都新宿区 : オライリー・ジャパン
    ISBN: 9784814400652 , 4814400659
    Language: Japanese
    Pages: 1 online resource (416 pages)
    Edition: Shohan.
    Uniform Title: Fundamentals of data engineering
    DDC: 005.74/3
    Keywords: Database design ; Computer architecture ; Database management ; Big data ; Bases de données ; Conception ; Ordinateurs ; Architecture ; Bases de données ; Gestion
    Abstract: "Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape ; Assess data engineering problems using an end-to-end data framework of best practices ; Cut through marketing hype when choosing data technologies, architecture, and processes ; Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle"-- Page 4 of cover.
    Note: Includes bibliographical references , In Japanese.
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  • 10
    ISBN: 9798868802522
    Language: English
    Pages: 1 online resource (xxv, 732 pages) , illustrations
    Edition: [First edition].
    Keywords: MySQL (Electronic resource) ; Database management ; Relational databases ; Bases de données ; Gestion ; Bases de données relationnelles
    Abstract: This book is your one-stop resource on MySQL database installation and server management for administrators. It covers installation, upgrades, monitoring, high availability, disaster recovery, security, and performance and troubleshooting. You will become fluent in MySQL 8.2, the latest version of the highly scalable and robust relational database system. With a hands-on approach, the book offers step-by-step guidance on installing, upgrading, and establishing robust high availability and disaster recovery capabilities for MySQL databases. It also covers high availability with InnoDB and NDB clusters, MySQL routers and enterprise MySQL tools, along with robust security design and performance techniques. Throughout, the authors punctuate concepts with examples taken from their experience with large-scale implementations at companies such as Meta and American Airlines, anchoring this practical guide to MySQL 8.2 administration in the real world. What YouWill Learn Understand MySQL architecture and best practices for administration of MySQL server Configure high availability, replication, disaster recovery with InnoDB and NDB engines Back up and restore with MySQL utilities and tools, and configure the database for zero data loss Troubleshoot with steps for real-world critical errors and detailed solutions Who This Book Is For Technical professionals, database administrators, developers, and engineers seeking to optimize MySQL databases for scale, security, and performance.
    Note: Includes index
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  • 11
    Online Resource
    Online Resource
    [Sebastopol, California] : O'Reilly Media, Inc.
    ISBN: 9781098146443 , 1098146441
    Language: English
    Pages: 1 online resource
    Edition: First edition.
    Parallel Title: Erscheint auch als
    DDC: 004
    Keywords: Electronic data processing ; Big data ; Database management ; Data mining ; Données volumineuses ; Bases de données ; Gestion ; Exploration de données (Informatique)
    Abstract: "This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data scientists are experts in the ""big themes"" of the discipline--machine learning and programming. But most of the time, these tools can only take us so far. In practice, the smaller tools and skills really separate a great data scientist from a not-so-great one. Taken as a whole, the lessons in this book make the difference between an average data scientist candidate and a qualified data scientist working in the field. Author Daniel Vaughan has collected, extended, and used these skills to create value and train data scientists from different companies and industries. With this book, you will: Understand how data science creates value Deliver compelling narratives to sell your data science project Build a business case using unit economics principles Create new features for a ML model using storytelling Learn how to decompose KPIs Perform growth decompositions to find root causes for changes in a metric Daniel Vaughan is head of data at Clip, the leading paytech company in Mexico. He's the author of Analytical Skills for AI and Data Science (O'Reilly)."
    Library Location Call Number Volume/Issue/Year Availability
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  • 12
    Online Resource
    Online Resource
    San Francisco : No Starch Press
    ISBN: 9781718501997 , 1718501994
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 005.8
    Keywords: Microsoft Windows (Computer file) ; Computer security ; Computer networks Security measures ; Microsoft Windows (Computer file) ; Sécurité informatique ; Réseaux d'ordinateurs ; Sécurité ; Mesures ; Computer networks ; Security measures ; Computer security
    Abstract: "In this hands-on guidebook, Windows security expert and bug hunter Forshaw distills his knowledge and describes the system in great depth. Readers learn the core components and features of the Microsoft Windows threat-mitigation system with in-depth technical discussions and real-world examples"--
    Note: Includes index. - Description based on print version record and CIP data provided by publisher; resource not viewed
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  • 13
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835881064 , 1835881068
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.75/65
    Keywords: SQL (Computer program language) ; Database management ; SQL (Langage de programmation) ; Bases de données ; Gestion ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This SQL mastery course offers a solid foundation in databases, emphasizing MySQL, a popular database management system. Starting with the essentials, learners are introduced to the pivotal role of databases in data management and given a primer on SQL, laying the groundwork for subsequent, more detailed study. The course is meticulously structured to guide you through setting up a MySQL environment, enabling practical engagement from the onset. As the course unfolds, you'll delve into designing databases and tables, learn to manage data through insertion, updating, and deletion, and explore the construction of basic to complex SQL queries for effective data retrieval. The course further advances into sophisticated SQL features like filtering with WHERE clause and operators, sorting and grouping data, and utilizing functions and aggregates for enhanced data analysis. A pivotal section on JOINs elucidates the intricacies of linking data across tables, while the final modules on indexes and optimization offer crucial insights into improving database performance. Each SkillSprint is designed to be both informative and hands-on, ensuring that by the end of the course, you'll possess a comprehensive understanding of SQL and MySQL, equipped with the skills to tackle real-world data management challenges. What you will learn Understand the fundamental concepts and roles of databases and SQL. Perform data manipulation tasks including inserting, updating, and deleting data. Construct basic and complex SQL queries for effective data retrieval. Apply sorting, grouping, and filtering techniques for data analysis. Utilize built-in functions and aggregates for advanced data operations. Implement various types of JOINs to link data across multiple tables. Audience Ideal for students, business analysts, project managers, software developers, data analysts, and career changers aiming to build or enhance their database management and SQL skills, particularly in MySQL. About the Author SkillSprints Inc., Mark Lassoff: SkillSprints Inc., founded by the visionary Mark Lassoff, specializes in teaching digitally accessible technical skills to people just getting started in their technical careers, including web development, digital design, and other career paths enabled by technology. SkillSprints has bridged the gap between entertainment and education, creating a unique, immersive learning experience that resonates with students. Their instructors are more than just tech-savvy professionals; they are educators first and foremost, handpicked for their unique ability to translate complex technological concepts into digestible, engaging lessons. SkillSprints continues to evolve, constantly innovating to stay at the forefront of the online learning landscape.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 14
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 005.8
    Keywords: Computer networks Security measures ; Business information services Security measures ; Computer networks ; Security measures
    Abstract: Today's organizations need a new security model that more effectively adapts to the complexity and risks of modern environments, embraces hybrid workplaces, and protects people, devices, apps, and data wherever they're located. Zero Trust is the first model with the potential to do all that. Zero Trust Architecture: Theory, Implementation, Maintenance, and Growth is the first comprehensive guide for architects, engineers, and other technical professionals who want to move from Zero Trust theory to implementation and successful ongoing operation. A team of Cisco's leading experts and implementers offer the most comprehensive and substantive guide to Zero Trust, bringing clarity, vision, practical definitions, and real-world expertise to a space that's been overwhelmed with hype. The authors explain why Zero Trust identity-based models can enable greater flexibility, simpler operations, intuitive context in the implementation and management of least privilege security. Then, building on Cisco's own model, they systematically illuminate methodologies, supporting technologies, and integrations required on the journey to any Zero Trust identity-based model. Through real world experiences and case study examples, you'll learn what questions to ask, how to start planning, what exists today, what solution components still must emerge and evolve, and how to drive value in the short-term as you execute on your journey towards Zero Trust.
    Note: Includes index. - Description based on print version record
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  • 15
    ISBN: 9781484289365 , 1484289366
    Language: English
    Pages: 1 online resource (xiii, 218 pages) , illustrations
    Edition: [First edition].
    Parallel Title: Erscheint auch als
    Keywords: Microsoft Azure (Computing platform) ; Computer security ; Computer networks Security measures ; Cloud computing ; Cloud computing ; Computer networks ; Security measures ; Computer security ; Microsoft Azure (Computing platform)
    Abstract: This is a crisp, practical, and hands-on guide to moving mission-critical workloads to Azure. This book focuses on the process and technology aspects of Azure security coupled with pattern-oriented, real-world examples. You will implement modernized security controls, catering to the needs of authentication, authorization, and auditing, thereby protecting the confidentiality and integrity of your infrastructure, applications, and data. The book starts with an introduction to the various dimensions of cloud security, including pattern-based security and Azure's defense security architecture. You will then move on to identity and access management with Azure Active Directory. Here, you will learn the AAD security model, application proxy, and explore AAD B2B and B2C for external partners. Network security patterns and infrastructure security patterns are discussed next, followed by application and data security patterns. Finally, you will learn how to set up security policies and work with Azure Monitor and Azure Sentinel, and to create leadership support and training for a rigorous security culture. After completing this book, you will understand and be able to implement reusable patterns for mission critical workloads, standardizing and expediting the move of those workloads to Azure.
    Note: Includes index
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  • 16
    Language: English
    Pages: 1 online resource (992 pages) , illustrations
    Edition: [First edition].
    DDC: 004/.36
    Keywords: SQL server ; Client/server computing ; Database management
    Abstract: Dive into SQL Server 2022 administration and grow your Microsoft SQL Server data platform skillset. This well-organized reference packs in timesaving solutions, tips, and workarounds, all you need to plan, implement, deploy, provision, manage, and secure SQL Server 2022 in any environment: on-premises, cloud, or hybrid, including detailed, dedicated chapters on Azure SQL Database and Azure SQL Managed Instance. Nine experts thoroughly tour DBA capabilities available in the SQL Server 2022 Database Engine, SQL Server Data Tools, SQL Server Management Studio, PowerShell, and much more. Youll find extensive new coverage of Azure SQL Database and Azure SQL Managed Instance, both as a cloud platform of SQL Server and in their new integrations with SQL Server 2022, information available in no other book. Discover how experts tackle todays essential tasks and challenge yourself to new levels of mastery.
    Note: Includes index
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  • 17
    Language: English
    Pages: 1 online resource (33 pages) , illustrations
    Edition: First edition.
    DDC: 005.74
    Keywords: Database design ; Cloud computing ; Database management
    Abstract: By choosing the right database, you can maximize your business potential, improve performance, increase efficiency, and gain a competitive edge. This insightful report examines the benefits of using a simplified data architecture containing cloud-based HTAP (hybrid transactional and analytical processing) database capabilities. You'll learn how this data architecture can help data engineers and data decision makers focus on what matters most: growing your business. Authors Joe McKendrick and Ed Huang explain how cloud native infrastructure supports enterprise businesses and operations with a much more agile foundation. Just one layer up from the infrastructure, cloud-based databases are a crucial part of data management and analytics. Learn how distributed SQL databases containing HTAP capabilities provide more efficient and streamlined data processing to improve cost efficiency and expedite business operations and decision making.
    Note: Includes bibliographical references
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  • 18
    Language: English
    Pages: 1 online resource (286 pages) , illustrations
    Edition: [First edition].
    DDC: 006.3/12
    Keywords: Data mining ; Cloud computing ; Database management
    Abstract: The low cost of getting started with cloud services can easily evolve into a significant expense down the road. That's challenging for teams developing data pipelines, particularly when rapid changes in technology and workload require a constant cycle of redesign. How do you deliver scalable, highly available products while keeping costs in check? With this practical guide, author Sev Leonard provides a holistic approach to designing scalable data pipelines in the cloud. Intermediate data engineers, software developers, and architects will learn how to navigate cost/performance trade-offs and how to choose and configure compute and storage. You'll also pick up best practices for code development, testing, and monitoring.
    Note: Includes bibliographical references and index
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  • 19
    ISBN: 9781000899696 , 1000899691
    Language: English
    Pages: 1 online resource (336 pages) , illustrations (black and white).
    Edition: 1 Edition.
    Parallel Title: Erscheint auch als
    DDC: 650.0285
    Keywords: Business Data processing ; Blockchains (Databases) Industrial applications ; Database management ; Business ; Data processing ; Database management
    Abstract: "This is the book that discusses the up-and-coming blockchain technology in a structured way from the conceptual, technological and business perspectives, thereby providing the integrated insight that is essential for truly understanding blockchain applications and their impact. While most people may know about blockchain from Bitcoin and news about its price in the financial markets, blockchain is a technology that increasingly permeates the way in which modern businesses operate. However, its dynamics and functioning remain obscure for most people. This book gives readers the tools to understand the full extent to which blockchain technology is or can be used in business. First, the book focuses on the functioning of blockchain systems, introducing basic concepts such as transactions, consensus mechanisms and smart contracts, as well as giving a smooth introduction to the basic features of cryptography that underpin blockchain technology, e.g., digital signatures and hashing. Then, the book focuses on specific blockchain platforms (Bitcoin, Ethereum, private blockchain platforms) currently used for the implementation of cryptocurrencies and other blockchain systems. Finally, it introduces a set of tools to understand and analyse the suitability of blockchain technology in different business scenarios from the business model, and business operation perspectives. Examples and case studies of blockchain applications currently in production are discussed extensively across the book. This book targets students and educators with an interest in blockchain technology providing a one-stop shop to obtain a deep and complete insight in blockchain technology and its applicability in different business scenarios. The textbook is designed primarily for 3rd and 4th year undergraduate students in industrial engineering, business and management, and information systems. However, it can be adopted also in the computer science majors, since it does not strictly require any specific pre-requisite knowledge. At the graduate level, this book can be used in courses for industrial engineering, information systems and management students. Finally, the book is also of interest to practitioners, like business analysts, process analysts and information system architects, to understand the enabling and transformative potential of blockchain in a given business scenario"--
    Note: Includes bibliographical references and index. - Description based on print version record
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  • 20
    Online Resource
    Online Resource
    [Cambridge, Massachusetts] : MIT Sloan Management Review
    Language: English
    Pages: 1 online resource (7 pages)
    Edition: [First edition].
    DDC: 005.74
    Keywords: Database management ; Organizational effectiveness ; Organizational change
    Abstract: At many companies, gaps in organizational structure get in the way of data science success. A new type of role, connectors, can bridge those gaps to help line-of-business and data science professionals work together better and deploy more projects. This article examines examples of organizations that created connector roles and explores the management challenges for this valuable group of professionals.
    Note: Reprint #65235
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  • 21
    Language: English
    Pages: 1 online resource (1832 pages)
    Edition: [First edition].
    Series Statement: Rough cuts
    DDC: 005.133
    Keywords: Oracle (Computer file) ; Database management ; Java (Computer program language) Problems, exercises, etc
    Abstract: OCP Oracle Certified Professional Java SE 17 Developer Exam 1Z0-829 Programmer's Guide is a unique guide that combines a rigorous introduction to programming in Java with meticulous coverage of the Java SE 17 and Java SE 11 Developer exam objectives. Fully updated to reflect changes in the latest exams, it features increased focus on analyzing code scenarios--not just individual language constructs. Each objective is thoroughly addressed, reflecting the latest features and APIs, as well as best practices for taking the exam. The one book anyone studying for Java SE 17 Developer or Java SE 11 Developer certification needs, it features Easy to find coverage of key topics relevant to each exam objective An introduction to essential concepts in object-oriented programming (OOP) and functional-style programming In-depth coverage of declarations, access control, operators, flow control, OOP techniques, lambda expressions, streams, modules, concurrency, Java I/O, key API classes and much more Program output demonstrating expected results from complete Java programs Unique diagrams to illustrate important concepts, such as Java I/O, modules, and streams Extensive use of UML (Unified Modeling Language) to illustrate program design Dozens of review questions with annotated answers to help prepare for the exam and a complete Mock Exam.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 14, 2022)
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  • 22
    Online Resource
    Online Resource
    [Place of publication not identified] : Pearson Education
    Language: English
    Pages: 1 online resource (608 pages) , illustrations
    Edition: [First edition].
    DDC: 005.75/85
    Keywords: SQL server ; SQL (Computer program language) ; Client/server computing ; Database management
    Abstract: Starting with the background to T-SQL querying and programming, including: logical query processing, book-querying constructs (single table queries, joins, subqueries, table expressions, set operators, data analysis), data modifications, temporal tables, transactions and concurrency, SQL Graph (completely new to this edition), as well as programmatic T-SQL constructs. The book includes extensive exercises and solutions with explanations, allowing the reader to practice what they've learned. This book is widely considered as the authoritative guide on T-SQL fundamentals. It focuses on understanding why things work the way they do, and not just how to make them work. When people understand the "why" the code they write tends to be more correct and more meaningful. This edition of the book includes coverage of the newest T-SQL additions up to and including SQL Server 2022.
    Note: Includes index
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  • 23
    Online Resource
    Online Resource
    Sebastopol, California : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (259 pages) , illustrations
    Edition: [First edition].
    DDC: 005.7
    Keywords: Big data ; Database management ; Business enterprises Data processing ; Information technology Management
    Abstract: The exponential growth of data combined with the need to derive real-time business value is a critical issue today. An event-driven data mesh can power real-time operational and analytical workloads, all from a single set of data product streams. With practical real-world examples, this book shows you how to successfully design and build an event-driven data mesh.
    Note: Includes index
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  • 24
    ISBN: 9781804614099 , 1804614092
    Language: English
    Pages: 1 online resource (172 p.)
    Edition: 1st edition.
    DDC: 004.67/8
    Keywords: Internet of things Security measures ; Computer networks Security measures ; Computer networks ; Security measures
    Abstract: Leverage Defender for IoT for understanding common attacks and achieving zero trust for IoT and OT devices Purchase of the print or Kindle book includes a free PDF eBook Key Features Identify and resolve cybersecurity challenges in the IoT and OT worlds Familiarize yourself with common attack vectors in the IoT and OT domains Dive into Defender for IoT, understand its capabilities, and put it to practice Book Description The Fourth Industrial Revolution, or Industry 4.0, is all about digital transformation, manufacturing, and production. The connected world we live in today, including industries, comes with several cybersecurity challenges that need immediate attention. This book takes you through the basics of IoT and OT architecture and helps you understand and mitigate these security challenges. The book begins with an overview of the challenges faced in managing and securing IoT and OT devices in Industry 4.0. You'll then get to grips with the Purdue model of reference architecture, which will help you explore common cyber attacks in IoT and OT environments. As you progress, you'll be introduced to Microsoft Defender for IoT and understand its capabilities in securing IoT and OT environments. Finally, you will discover best practices for achieving continuous monitoring and vulnerability management, as well as threat monitoring and hunting, and find out how to align your business model toward zero trust. By the end of this security book, you'll be equipped with the knowledge and skills to efficiently secure IoT and OT environments using Microsoft Defender for IoT. What you will learn Discover security challenges faced in IoT and OT environments Understand the security issues in Industry 4.0 Explore Microsoft Defender for IoT and learn how it aids in securing the IoT/OT industry Find out how to deploy Microsoft Defender for IoT along with its prerequisites Understand the importance of continuous monitoring Get familiarized with vulnerability management in the IoT and OT worlds Dive into risk assessment as well as threat monitoring and hunting Achieve zero trust for IoT devices Who this book is for This book is for industrial security, IoT security, and IT security professionals. Security engineers, including pentesters, security architects, and ethical hackers, who want to ensure the security of their organization's data when connected with the IoT will find this book useful.
    Note: Description based upon print version of record. - The sensor console
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  • 25
    Online Resource
    Online Resource
    Hoboken, New Jersey : John Wiley & Sons, Inc.
    ISBN: 9781119851462 , 1119851467 , 9781119851431 , 1119851432 , 1119851459 , 9781119851455 , 9781119851424
    Language: English
    Pages: 1 online resource (xiii, 226 pages) , illustrations.
    Series Statement: Wiley and SAS business series
    Parallel Title: Erscheint auch als
    DDC: 005.75/65
    Keywords: Database management ; Management information systems Management ; Data integrity ; Data integrity ; Database management ; Management information systems ; Management
    Abstract: "Data Governance is an important topic for most organizations, yet they still are challenged in operationalizing and sustaining programs. The author shares her experience about what does and does not work in planning, designing, operationalizing, and (ultimately) sustaining a data governance program. It will explore where most organizations are challenged in program development and provide practical, actionable advice to help readers understand various pitfalls and a path forward"--
    Note: Includes index. - Description based on online resource; title from digital title page (viewed on May 05, 2023)
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  • 26
    Online Resource
    Online Resource
    Newark : John Wiley & Sons, Incorporated
    ISBN: 9781394173396 , 1394173393 , 9781394173099 , 1394173091 , 9781394173082
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 005.8
    Keywords: Computer security ; Computer networks Security measures ; Computer crimes Prevention ; Computer crimes ; Prevention ; Computer networks ; Security measures ; Computer security
    Abstract: The first expert discussion of the foundations of cybersecurity In Cybersecurity First Principles, Rick Howard, the Chief Security Officer, Chief Analyst, and Senior fellow at The Cyberwire, challenges the conventional wisdom of current cybersecurity best practices, strategy, and tactics and makes the case that the profession needs to get back to first principles. The author convincingly lays out the arguments for the absolute cybersecurity first principle and then discusses the strategies and tactics required to achieve it. In the book, you'll explore: Infosec history from the 1960s until the early 2020s and why it has largely failed What the infosec community should be trying to achieve instead The arguments for the absolute and atomic cybersecurity first principle The strategies and tactics to adopt that will have the greatest impact in pursuing the ultimate first principle Case studies through a first principle lens of the 2015 OPM hack, the 2016 DNC Hack, the 2019 Colonial Pipeline hack, and the Netflix Chaos Monkey resilience program A top to bottom explanation of how to calculate cyber risk for two different kinds of companies This book is perfect for cybersecurity professionals at all levels: business executives and senior security professionals, mid-level practitioner veterans, newbies coming out of school as well as career-changers seeking better career opportunities, teachers, and students.
    Note: Includes bibliographical references and index. - Description based upon online resource; title from PDF title page (viewed May 2nd, 2023)
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  • 27
    ISBN: 9781804619438 , 1804619434 , 9781804610787
    Language: English
    Pages: 1 online resource
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 005.74
    Keywords: Database management ; Database design ; Electronic data processing Management ; Information technology Management
    Abstract: Identify data quality issues, leverage real-world examples and templates to drive change, and unlock the benefits of improved data in processes and decision-making Key Features Get a practical explanation of data quality concepts and the imperative for change when data is poor Gain insights into linking business objectives and data to drive the right data quality priorities Explore the data quality lifecycle and accelerate improvement with the help of real-world examples Purchase of the print or Kindle book includes a free PDF eBook Book Description Poor data quality can lead to increased costs, hinder revenue growth, compromise decision-making, and introduce risk into organizations. This leads to employees, customers, and suppliers finding every interaction with the organization frustrating. Practical Data Quality provides a comprehensive view of managing data quality within your organization, covering everything from business cases through to embedding improvements that you make to the organization permanently. Each chapter explains a key element of data quality management, from linking strategy and data together to profiling and designing business rules which reveal bad data. The book outlines a suite of tried-and-tested reports that highlight bad data and allow you to develop a plan to make corrections. Throughout the book, you'll work with real-world examples and utilize re-usable templates to accelerate your initiatives. By the end of this book, you'll have gained a clear understanding of every stage of a data quality initiative and be able to drive tangible results for your organization at pace. What you will learn Explore data quality and see how it fits within a data management programme Differentiate your organization from its peers through data quality improvement Create a business case and get support for your data quality initiative Find out how business strategy can be linked to processes, analytics, and data to derive only the most important data quality rules Monitor data through engaging, business-friendly data quality dashboards Integrate data quality into everyday business activities to help achieve goals Avoid common mistakes when implementing data quality practices Who this book is for This book is for data analysts, data engineers, and chief data officers looking to understand data quality practices and their implementation in their organization. This book will also be helpful for business leaders who see data adversely affecting their success and data teams that want to optimize their data quality approach. No prior knowledge of data quality basics is required.
    Note: Includes index
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  • 28
    ISBN: 9781484287712 , 1484287711
    Language: English
    Pages: 1 online resource (xxii, 402 pages) , illustrations
    Edition: 3rd ed.
    Parallel Title: Erscheint auch als
    Keywords: SQL server ; Database management
    Abstract: Use this practical guide to analyze and troubleshoot SQL Server performance using wait statistics. You'll learn to identify precisely why your queries are running slowly. And you'll know how to measure the amount of time consumed by each bottleneck so you can focus attention on making the largest improvements first. This edition is updated to cover analysis of wait statistics current with SQL Server 2022. Whether you are new to wait statistics, or already familiar with them, this book provides a deeper understanding on how wait statistics are generated and what they mean for your SQL Server instance’s performance. The book goes beyond the most common wait types into the more complex and performance-threatening wait types. You’ll learn about per-query wait statistics and session-based wait statistics, and the types of problems they can help you solve. The different wait types are categorized by their area of impact, including CPU, IO, Latching, Locking, and many more. Clear examples are included to help you gain practical knowledge of why and how specific wait times increase or decrease, how they impact your SQL Server’s performance, and what you can do to improve performance. After reading this book, you won’t want to be without the valuable information that wait statistics provide regarding where you should be spending your limited tuning time to maximize performance and value to your business.
    Note: Includes index
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  • 29
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Database management ; Management information systems ; Information storage and retrieval systems ; Data warehousing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: The ability to store, process, and manage data in the cloud efficiently and cost-effectively is a must for working with today's enormous datasets. Data lakes answered the problem of silos found in many data warehouses. And the data lakehouse emerged as a solution that combined the strengths of both models. But with the number of versatile data storage and management options available, it can be hard to figure out which solution is right for you. These expert-led sessions will give data engineers, software engineers, and solution architects insight into how to increase the scalability, speed, and availability of your data, along with best practices for best utilizing your data warehouse, data lake, or data lakehouse. About the Data Superstream Series: This Superstream series is designed to help your organization maximize the business impact of your data, and packed with insights from key innovators and the latest tools and technologies to help you stay ahead of it all. What you'll learn and how you can apply it Get an overview of the latest technologies for storing and managing your data Discover the benefits of implementing a data lakehouse for improved analytics and data science Understand how to perform robust analytics on a cloud data warehouse Find out how to test data quality at scale with Apache Iceberg Learn best practices for using a data mesh approach Explore how to democratize and leverage machine learning on a data lakehouse This recording of a live event is for you because... You're a data or software engineer or solution architect interested in learning about the latest trends in storing, processing, and managing data. You want to improve the scalability, speed, and availability of your data. You want to better understand the systems that you already use and learn how to take full advantage of their capabilities. Recommended follow-up: Read The Cloud Data Lake (book) Read Data Management at Scale, second edition (book) Take Google BigQuery First Steps (live online training course with Joy Payton) Take Data Lakehouse Fundamentals (live online training course with Janani Ravi) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2023)
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  • 30
    ISBN: 9781484292259 , 1484292251
    Language: English
    Pages: 1 online resource (xvi, 472 pages) , illustrations (chiefly color).
    Parallel Title: Erscheint auch als
    Keywords: Database management ; Microsoft Azure (Computing platform) ; SQL (Computer program language) ; Database management ; Microsoft Azure (Computing platform) ; SQL (Computer program language) ; Electronic books
    Abstract: Take a deep dive into the Azure SQL Database Hyperscale Service Tier and discover a new form of cloud architecture from Microsoft that supports massive databases. The new horizontally scalable architecture, formerly code-named Socrates, allows you to decouple compute nodes from storage layers. This radically different approach dramatically increases the scalability of the service. This book shows you how to leverage Hyperscale to provide next-level scalability, high throughput, and fast performance from large databases in your environment. The book begins by showing how Hyperscale helps you eliminate many of the problems of traditional high-availability and disaster recovery architecture. Youll learn how Hyperscale overcomes storage capacity limitations and issues with scale-up times and costs. With Hyperscale, your costs do not increase linearly with database size and you can manage more data than ever at a lower cost. The book teaches you how to deploy, configure, and monitor an Azure SQL Hyperscale database in a production environment. The book also covers migrating your current workloads from traditional architecture to Azure SQL Hyperscale. What You Will Learn Understand the advantages of Hyperscale over traditional architecture Deploy a Hyperscale database on the Azure cloud (interactively and with code) Configure the advanced features of the Hyperscale database tier Monitor and scale database performance to suit your needs Back up and restore your Azure SQL Hyperscale databases Implement disaster recovery and failover capability Compare performance of Hyperscale vs traditional architecture Migrate existing databases to the Hyperscale service tier.
    Note: Includes index. - Print version record
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  • 31
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781805121503 , 1805121502
    Language: English
    Pages: 1 online resource (1 video file (7 hr., 56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.75/85
    Keywords: SQL server ; Client/server computing ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Are you interested in learning SQL and database management? Our comprehensive course offers an in-depth look at the fundamentals of databases, including database types, SQL commands, table operations, and advanced concepts such as grouping sets and data types. In the first few sections, you will learn about data manipulation, including selecting, inserting, updating, and deleting data from a database. The course then dives into more advanced topics such as stored procedures, which allow you to write reusable code that can be executed multiple times. You will also learn about views, which provide a way to organize and simplify complex SQL queries, and triggers, which enable you to automate database actions based on certain events. The course then delves into transactions, which are essential for ensuring data consistency and reliability. You will also learn about normalization, which is the process of organizing data in a database to reduce redundancy and improve efficiency. The final sections of the course cover database backup and restore, as well as securing the database against potential threats such as SQL injection attacks. Throughout the course, you will gain hands-on experience by working with real-world examples and scenarios. By the end of the course, you will have a strong foundation in SQL and database management that will serve you well in any career that involves data management. What You Will Learn Understand the fundamentals of database design and management Learn to write SQL queries to extract and manipulate data Implement advanced SQL techniques such as subqueries and views Explore the different types of SQL triggers and transactions Create database backups and restore data in case of loss Secure your database against potential threats like SQL injections Audience This course is designed for anyone interested in learning SQL and database management, including beginners with little to no prior knowledge of SQL. It is suitable for individuals looking to gain skills for a career in data analysis, database administration, or software development. This course will also benefit professionals looking to enhance their current skill set with SQL knowledge. Students pursuing degrees in computer science, information technology, or related fields can also benefit from this course. About The Author Abhilash Nelson: Abhilash Nelson is a pioneering, talented, and security-oriented Android/iOS mobile and PHP/Python web application developer with more than 8 years of IT experience involving designing, implementing, integrating, testing, and supporting impactful web and mobile applications. He has a master's degree in computer science and engineering and has PHP/Python programming experience, which is an added advantage for server-based Android and iOS client applications. Abhilash is currently a senior solution architect managing projects from start to finish to ensure high quality and innovative and functional design.
    Note: "Published in April 2023.". - Online resource; title from title details screen (O'Reilly, viewed May 11, 2023)
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  • 32
    ISBN: 9788383220383 , 8383220383
    Language: Polish
    Pages: 1 online resource (344 pages) , illustrations
    Edition: [First edition].
    Uniform Title: Data mesh
    DDC: 005.7
    Keywords: Big data ; Database management ; Business enterprises Data processing ; Information technology Management
    Abstract: Dostęp do danych jest warunkiem rozwoju niejednej organizacji. Aby w pełni skorzystać z ich potencjału i uzyskać dzięki nim konkretną wartość, konieczne jest odpowiednie zarządzanie danymi. Obecnie stosowane rozwiązania w tym zakresie nie nadążają już za złożonością dzisiejszych organizacji, rozprzestrzenianiem się źródeł danych i rosnącymi aspiracjami inżynierów, którzy rozwijają techniki sztucznej inteligencji i analizy danych. Odpowiedzią na te potrzeby może być siatka danych, jednak praktyczna implementacja tej koncepcji wymaga istotnej zmiany myślenia. Ta książka szczegółowo wyjaśnia paradygmat siatki danych, a przy tym koncentruje się na jego praktycznym zastosowaniu. Zgodnie z tym nowatorskim podejściem dane należy traktować jako produkt, a dziedziny - jako główne zagadnienie. Poza wyjaśnieniem paradygmatu opisano tu zasady projektowania wysokopoziomowej architektury komponentów siatki danych, a także przedstawiono wskazówki i porady dotyczące ewolucyjnej realizacji siatki danych w organizacji. Tematyka ta została potraktowana wszechstronnie: omówiono kwestie technologiczne, organizacyjne, jak również socjologiczne i kulturowe. Dzięki temu jest to cenna lektura zarówno dla architektów i inżynierów, jak i dla badaczy, analityków danych, wreszcie dla liderów i kierowników zespołów.
    Note: Includes bibliographical references
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  • 33
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Web site development ; Application software Development ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for this edition of O'Reilly Book Club with Martin Kleppmann, author of Designing Data-Intensive Applications, to explore principles and best practices for developing distributed data systems. Learn tricks of the trade, listen to stories, and hear from other readers. What you'll learn and how you can apply it Make data systems scalable to support applications with a large user base Build applications that are reliable and operationally robust Develop systems that are easier to maintain and can adopt and grow with the changing technology landscape and requirements This recording of a live event is for you because... You want to go beyond the words on the page and hear from the author. You want to learn principles and best practices for designing distributed data systems. Recommended follow-up: Read Designing Data-Intensive Applications (book) Read Fundamentals of Data Engineering (book) Read Designing Distributed Systems (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 34
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (19 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.8/076
    Keywords: Penetration testing (Computer security) Study guides ; Computers Study guides Access control ; Computer networks Study guides Security measures ; Hackers Study guides ; Computer networks ; Security measures ; Computers ; Access control ; Hackers ; Penetration testing (Computer security) ; Instructional films ; Internet videos ; Nonfiction films ; Study guides ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course is designed for information security professionals who wish to take the Certified Ethical Hacker (CEH) exam and move on to a career as a professional pentester (or penetration tester). This course will teach you what you need to know to pass the CEH exam, and will also give you insight into the day-to-day workflow of a certified ethical hacker. Upon enrolling in this course, you will receive: 19+ Hours of HD Video Lessons on how to think like a hacker Hacking demonstrations with tools such as Maltego, FOCA, Harvester, Recon-ng, Nmap, masscan, tcpdump, Wireshark, Ettercap, Burp Suite, Scapy, Mimikatz, Hashcat, Konboot, Hydra, and more! A blueprint for conducting your own penetration test Links to additional resources to continue your education.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 26, 2023)
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  • 35
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835461808 , 1835461808
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.75/6
    Keywords: SQL (Computer program language) ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Welcome to this SQL Server course designed to cater to aspiring data professionals and anyone looking to enhance their SQL skills. We will begin with the fundamentals, covering SQL syntax, data types, and essential querying techniques. You will learn how to write powerful SQL queries to retrieve, filter, and sort data, as well as perform calculations, and leverage aggregate functions. In the second part of the course, we will dive into advanced SQL for data science. Joining tables, using subqueries, and employing window functions are vital skills for complex data retrieval and analysis. You will learn how to combine data from multiple tables, create intricate queries, and extract valuable insights from large datasets. Lastly, we will focus on database management and optimization. You will gain the skills to efficiently manage SQL Server databases, including database design, indexing, and performance tuning. This knowledge is crucial for ensuring that your databases run smoothly and deliver optimal performance. By the end of this course, you will have gained the confidence and expertise to utilize SQL for data science tasks, ranging from data exploration and manipulation to advanced analytics and reporting. What You Will Learn Learn DDL commands for creating, altering, and deleting databases Understand various data types and their significance in defining data structures Explore constraints, including NOT NULL, Primary Key, Foreign Key, Check, and Default Work with views to simplify complex queries and improve data security Learn how to use aggregate functions for data summarization and analysis Learn the order of execution in SQL queries and how it affects query performanc Audience If you are an aspiring data professional, a Database Administrator (DBA), a developer, or anyone eager to level up your SQL skills, this all-inclusive SQL Server course is tailor-made for you. Whether you are a beginner or looking to advance your SQL expertise, this course will empower you to excel in managing and manipulating data using SQL Server, unlocking new opportunities in the world of data-driven decision-making. Join us and embark on a journey to master SQL and take your career to the next level. About The Auhthor Vivek P.: Vivek P. is a Tableau Certified Associate with more than 12 years of IT experience with different technologies. He is enthusiastic about working with technology and strongly believes in hands-on learning. His teaching methodology is also driven by this belief.
    Note: "Published in August 2023.". - Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
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  • 36
    ISBN: 9781484296851 , 1484296850
    Language: English
    Pages: 1 online resource (466 p.)
    Parallel Title: Erscheint auch als
    Keywords: SQL (Computer program language) ; Relational databases ; Database management ; SQL (Langage de programmation) ; Bases de données relationnelles ; Bases de données ; Gestion
    Abstract: Learn to write SQL queries to select and analyze data, and improve your ability to manipulate data. This book will help you take your existing skills to the next level. Author Mark Simon kicks things off with a quick review of basic SQL knowledge, followed by a demonstration of how efficient SQL databases are designed and how to extract just the right data from them. You'll then learn about each individual table's structure and how to work with the relationships between tables. As you progress through the book, you will learn more sophisticated techniques such as using common table expressions and subqueries, analyzing your data using aggregate and windowing functions, and how to save queries in the form of views and other methods. This book employs an accessible approach to work through a realistic sample, enabling you to learn concepts as they arise to improve parts of the database or to work with the data itself. After completing this book, you will have a more thorough understanding of database structure and how to use advanced techniques to extract, manage, and analyze data. What Will You Learn Gain a stronger understanding of database design principles, especially individual tables Understand the relationships between tables Utilize techniques such as views, subqueries, common table expressions, and windowing functions Who Is This Book For: SQL Databases users who want to improve their knowledge and techniques.
    Note: Description based upon print version of record. - More Details on Calculations
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  • 37
    ISBN: 9783960107682 , 3960107684
    Language: German
    Pages: 1 online resource (492 p.)
    Parallel Title: Erscheint auch als
    DDC: 005.74
    Keywords: Database management ; Big data ; Data mining
    Abstract: Data Engineering hat sich in den letzten zehn Jahren rasant entwickelt, sodass viele Software Engineers, Datenanalystinnen und Data Scientists nach einer zusammenfassenden Darstellung der grundlegenden Techniken suchen. Dieses praxisorientierte Buch gibt Ihnen mit dem Data Engineering Lifecycle ein Framework an die Hand, das die Evaluierung und Auswahl der besten Technologien für reale Geschäftsprobleme erleichtert. Sie erfahren, wie Sie Systeme so planen und entwickeln, dass sie den Anforderungen Ihres Unternehmens und Ihrer Kunden optimal gerecht werden.Joe Reis und Matt Housley führen Sie durch den Data Engineering Lifecycle und zeigen Ihnen, wie Sie eine Vielzahl von Cloud-Technologien kombinieren können, um die Bedürfnisse von Datenkonsumenten zu erfüllen. Sie lernen, die Konzepte der Generierung, Ingestion, Orchestrierung, Transformation, Speicherung und Bereitstellung von Daten anzuwenden, die in jeder Datenumgebung – unabhängig von der konkret verwendeten Technologie – von entscheidender Bedeutung sind.- Erhalten Sie einen kompakten Überblick über die gesamte Praxis des Data Engineering- Beurteilen Sie Problemstellungen im Data Engineering anhand eines umfassenden Frameworks von Best Practices- Wählen Sie geeignete Datentechnologien, -architekturen und -prozesse jenseits des Marketing-Hypes aus- Nutzen Sie den Data Engineering Lifecycle, um eine robuste Infrastruktur zu entwerfen und aufzubauen- Erfahren Sie, wie Sie Data Governance und Sicherheit in den gesamten Lebenszyklus Ihrer Daten integrieren
    Note: Description based upon print version of record. - Weitere Beispiele von Datenarchitekturen
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  • 38
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications
    Language: Undetermined
    Pages: 1 online resource (1 audio file)
    DDC: 006.3/1
    Keywords: Machine learning ; Computer networks Security measures ; Apprentissage automatique ; Réseaux d'ordinateurs ; Sécurité ; Mesures ; Computer networks ; Security measures ; Machine learning ; Audiobooks ; Audiobooks ; Livres audio
    Abstract: Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: Privacy considerations in machine learning Differential privacy techniques for machine learning Privacy-preserving synthetic data generation Privacy-enhancing technologies for data mining and database applications Compressive privacy for machine learning Privacy Preserving Machine Learning is a comprehensive guide to avoiding data breaches in your machine learning projects. You'll get to grips with modern privacy-enhancing techniques such as differential privacy, compressive privacy, and synthetic data generation. Based on years of DARPA-funded cybersecurity research, ML engineers of all skill levels will benefit from incorporating these privacy-preserving practices into their model development. By the time you're done reading, you'll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance. About the Technology Machine learning applications need massive amounts of data. It's up to you to keep the sensitive information in those data sets private and secure. Privacy preservation happens at every point in the ML process, from data collection and ingestion to model development and deployment. This practical book teaches you the skills you'll need to secure your data pipelines end to end. About the Book Privacy Preserving Machine Learning explores privacy preservation techniques through real-world use cases in facial recognition, cloud data storage, and more. You'll learn about practical implementations you can deploy now, future privacy challenges, and how to adapt existing technologies to your needs. Your new skills build towards a complete security data platform project you'll develop in the final chapter. What's Inside Differential and compressive privacy techniques Privacy for frequency or mean estimation, naive Bayes classifier, and deep learning Privacy-preserving synthetic data generation Enhanced privacy for data mining and database applications About the Reader For machine learning engineers and developers. Examples in Python and Java. About the Authors J. Morris Chang is a professor at the University of South Florida. His research projects have been funded by DARPA and the DoD. Di Zhuang is a security engineer at Snap Inc. G. Dumindu Samaraweera is an assistant research professor at the University of South Florida. The technical editor for this book, Wilko Henecka, is a senior software engineer at Ambiata where he builds privacy-preserving software. Quotes A detailed treatment of differential privacy, synthetic data generation, and privacy-preserving machine-learning techniques with relevant Python examples. Highly recommended! - Abe Taha, Google A wonderful synthesis of theoretical and practical. This book fills a real need. - Stephen Oates, Allianz The definitive source for creating privacy-respecting machine learning systems. This area in data-rich environments is so important to understand! - Mac Chambers, Roy Hobbs Diamond Enterprises Covers all aspects for data privacy, with good practical examples. - Vidhya Vinay, Streamingo Solutions.
    Note: Machine-generated record
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  • 39
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 37 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Database management ; Big data ; Data mining ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by Redpanda Millions (if not billions) of touch points from customers, systems, and processes enter the average business's data stream every day. Farther down that stream, analysts, data scientists, and ML engineers take that data and use it to develop hypotheses, identify insights, feed learning models, and so much more. The job of the data engineer is to manage this lifecycle from initial generation through storage to ingestion, transformation, and finally serving the data, using tools like AWS, Azure, Google Cloud, Spark, Kafka, SQL, and many more. It's extremely important and no small feat. That's why data engineering is one of the fastest growing jobs--and why data engineers are employed by many of the most recognizable tech companies in the world, including IBM, Amazon, Microsoft, Apple, Google, and Facebook. Join experienced industry experts to learn how the data engineering lifecycle fits into the overall data lifecycle, explore the technologies you'll need to conquer along the path from generation to service, and better understand how to meet the needs of analysts, scientists, and ML engineers as well as the business stakeholders and customers driving decisions. What you'll learn and how you can apply it Discover how the data engineering lifecycle allows data professionals to design and build a robust architecture Standardize the process of ML model deployment and monitoring with MLOps Learn essential data preprocessing techniques crucial for harnessing the potential of LLMs This live course is for you because... You're a data engineer, ML engineer, or data scientist. You want to effectively approach the data lifecycle from ingestion to labeling to solving problems with machine learning. You want to learn more about prompt engineering and management to tame the inherent unpredictability of AI-generated outputs. Recommended follow-up: Read Fundamentals of Data Engineering (book) Read Designing Machine Learning Systems (book) Read Machine Learning Design Patterns (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed October 10, 2023)
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  • 40
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Database management ; Big data ; Data mining ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course introduces learners to the fundamentals of data engineering, and is closely related to material in the book Fundamentals of Data Engineering by Joe Reis and Matt Housley. The course is dedicated to teaching data engineering ideas and principles. The goal of this course is to expose students to core concepts and practices to introduce them to the data engineering career path. Further data engineering training can lead to a career in the discipline or allow students to apply data engineering concepts in their current role. The course covers the stages of the data engineering lifecycle (generation, ingestion, storage, transformation, serving) and the major undercurrents that cut across all stages (security, data management, orchestration, etc.) Learners will gain an understanding of the history of data engineering, current trends, and career prospects. What you'll learn and how you can apply it Understand the stages of the data engineering lifecycle Be able to identify the various underlying components of the field, including security, data management, and orchestration This course is for you because... You're a data engineer who wants to gain a broader understanding of data engineering. You may be familiar with specific tools or technologies, but you are looking for a more holistic, vendor agnostic understanding of data engineering practices. You're a software engineer or data scientist who wants to transition into data engineering, or who may even be doing some data engineering work in your current role. You're a data team manager who wants to understand how to better optimize their team and contribute positively to the organization as a whole. Prerequisites: Beginner understanding of the field of data Beginner to mid-level knowledge of cloud systems and databases.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 5, 2023)
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  • 41
    ISBN: 9781835468449 , 1835468446
    Language: English
    Pages: 1 online resource (637 p.)
    Series Statement: Expert insight
    DDC: 005.74
    Keywords: PostgreSQL ; Database management ; SQL (Computer program language) ; Bases de données ; Gestion ; SQL (Langage de programmation)
    Abstract: Written by a team of well-known PostgreSQL experts, this new edition will cover all the latest updates of PostgreSQL 16 including 12+ new and improved recipes on logging, monitoring, security and high-performance Purchase of the print or Kindle book includes a free PDF eBook Key Features Skill-up as a database administrator by achieving improved query performance, backup, and recovery management, setting up replication and so on Get to grips with the essentials of database management with a recipe-based approach using the latest features of PostgreSQL 16 New and updated recipes on crucial PostgreSQL topics like Monitoring, Logging, Scalability and so on Book Description PostgreSQL has seen a huge increase in its customer base in the past few years and is becoming one of the go-to solutions for anyone who has a database-specific challenge. This PostgreSQL book touches on all the fundamentals of Database Administration in a problem-solution format. It is intended to be the perfect desk reference guide. This new edition focuses on recipes based on the new PostgreSQL 16 release. The additions include handling complex batch loading scenarios with the SQL MERGE statement, security improvements, running Postgres on Kubernetes or with TPA and Ansible, and more. This edition also focuses on certain performance gains, such as query optimization, and the acceleration of specific operations, such as sort. It will help you understand roles, ensuring high availability, concurrency, and replication. It also draws your attention to aspects like validating backups, recovery, monitoring, and scaling aspects. This book will act as a one-stop solution to all your real-world database administration challenges. By the end of this book, you will be able to manage, monitor, and replicate your PostgreSQL 16 database for efficient administration and maintenance with the best practices from experts. What you will learn Discover how to improve batch data loading with the SQL MERGE statement Use logical replication to apply large transactions in parallel Improve your back up and recovery performance with server-side compression Tackle basic to high-end and real-world PostgreSQL challenges with practical recipes Monitor and fine-tune your database with ease Learn to navigate the newly introduced features of PostgreSQL 16 Efficiently secure your PostgreSQL database with new and updated features Who this book is for This Postgres book is for database administrators, data architects, database developers, and anyone with an interest in planning and running live production databases using PostgreSQL 14. Those looking for hands-on solutions to any problem associated with PostgreSQL 14 administration will also find this book useful. Some experience with handling PostgreSQL databases will help you to make the most out of this book, however, it is a useful resource even if you are just beginning your Postgres journey.
    Note: Description based upon print version of record. - How to do it
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  • 42
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835463741 , 1835463746
    Language: English
    Pages: 1 online resource (1 video file (16 hr., 48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.75/85
    Keywords: Oracle (Computer file) ; Database management ; Relational databases ; Bases de données ; Gestion ; Bases de données relationnelles ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Experience the power of Oracle database RAC administration with this comprehensive course tailored for proficient Oracle database administrators. Gain profound insights into the intricate workings of Oracle RAC databases, exploring a wide array of topics that seamlessly transition from a 12c setup to a 19c environment. Throughout this course, explore a myriad of topics to master Oracle RAC administration. Begin by comprehending its architecture and proceeding to installation techniques for different RAC types--administrator-managed, policy-managed, CDB, and RAC One node. Delve into performing core administrative tasks, backup and recovery strategies, and the art of effectively monitoring and fine-tuning Oracle RAC databases. Discover dynamic database services, connection load balancing, TAF, FAN, and application continuity, offering seamless performance and reliability. Engage in practical exercises following each concept to reinforce learning, backed by hands-on practice, from mastering patch sets applications on Oracle RAC to comprehending Flex Clusters, upgrading databases, managing server pools, and adeptly navigating Oracle's innovative technology without complex hardware requirements. By the end of this course, you will be proficient in building and managing Oracle RAC databases with advanced precision and expertise. What you will learn Build Oracle 12c and 19c RAC databases on Linux platforms Implement global resource management and backup/recovery strategies in RAC Learn to manage dynamic database services and apply patch sets Explore connection load balancing, TAF, and FAN Understand application continuity and perform Oracle RAC upgrades Create Oracle RAC One Node and CDB databases effectively Explore Oracle Flex Clusters and manage server pools in Clusterware Audience This course caters to Oracle database administrators aspiring to master Oracle RAC databases. It's tailored for those eager to deepen their expertise in managing and optimizing Oracle RAC across various setups. Prerequisites include familiarity with Oracle database administration fundamentals and a basic understanding of Linux operating systems. Students should have a PC with Windows 7, 8, or 10 (64-bit) and 16 GB memory, along with a minimum of 280 GB free HDD space. This comprehensive course guides learners from foundational concepts to advanced administration in Oracle RAC databases. About the Author Ahmed Baraka: Ahmed Baraka has 25 years of extensive experience in the computer industry, with a focus on Oracle database administration technologies used in complex and high-availability environments. Baraka's expertise is designing and maintaining database solutions for complex business needs using a wide selection of technologies, such as Oracle RAC, ASM, Data Guard, GoldenGate, WebLogic, Database Appliance, and Enterprise Manager. He has worked with international firms in Australia and Abu Dhabi. His hobbies are soccer (football) and listening to soft music.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 3, 2023)
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  • 43
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835463352 , 1835463355
    Language: English
    Pages: 1 online resource (1 video file (26 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.75/85
    Keywords: Oracle (Computer file) ; Database management ; Relational databases ; Bases de données ; Gestion ; Bases de données relationnelles ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Oracle Database Performance Tuning is improving the speed and efficiency of Oracle database systems by identifying and addressing performance issues, optimizing queries, and managing system resources effectively. The course provides a thorough exploration of performance optimization for Oracle database systems. It covers fundamental concepts and progresses into the practical use of performance tuning tools such as AWR, ASH, and SQL tracing, along with insights into Oracle performance statistics and wait events. The course emphasizes the efficient management of system resources, from CPU and memory to disk I/O and network, and guides you in maintaining production tables and indexes for peak performance. With hands-on exercises and practical demonstrations, this course equips database professionals, particularly Oracle DBAs, to systematically identify and resolve performance bottlenecks, making their database systems more efficient and responsive. By the end of this course, you will be well-versed in Oracle Database Performance Tuning, capable of diagnosing performance issues, proposing solutions, and implementing best practices to make Oracle databases more efficient and responsive. It is a valuable resource for those aiming to join the ranks of top-tier DBAs who excel in performance tuning. What you will learn Pinpoint and resolve performance bottlenecks within Oracle databases Master performance tuning with AWR, ASH, SQL tracing, and EM Express Develop practical solutions to address database performance issues Implement Oracle's performance tuning methodology systematically Optimize system resources such as CPU, memory, disk I/O, and network usage Enhance SQL querying and manage in-production tables and indexes Audience The course audience primarily includes Oracle Database Administrators (DBAs) and IT professionals who manage Oracle database systems. This course suits individuals looking to enhance their skills in identifying and resolving performance issues in Oracle databases. It caters to those seeking in-depth knowledge of performance tuning tools and methodologies and those seeking to refine their expertise in Oracle database performance optimization. Prior experience with the Oracle SQL language and a basic understanding of Oracle database architecture are prerequisites. About the Author Ahmed Baraka: Ahmed Baraka has 25 years of extensive experience in the computer industry, with a focus on Oracle database administration technologies used in complex and high-availability environments. Baraka's expertise is designing and maintaining database solutions for complex business needs using a wide selection of technologies, such as Oracle RAC, ASM, Data Guard, GoldenGate, WebLogic, Database Appliance, and Enterprise Manager. He has worked with international firms in Australia and Abu Dhabi. His hobbies are soccer (football) and listening to soft music.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 3, 2023)
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  • 44
    ISBN: 9781484293195 , 1484293193
    Language: English
    Pages: 1 online resource (xxiv, 223 pages) , illustrations
    Edition: Second edition.
    Parallel Title: Erscheint auch als
    Keywords: Cyber intelligence (Computer security) ; Computer networks Security measures ; Surveillance des menaces informatiques ; Réseaux d'ordinateurs ; Sécurité ; Mesures ; Computer networks ; Security measures ; Cyber intelligence (Computer security)
    Abstract: When it comes to managing cybersecurity in an organization, most organizations tussle with basic foundational components. This practitioner⁰́₉s guide lays down those foundational components, with real client examples and pitfalls to avoid. A plethora of cybersecurity management resources are available⁰́₄many with sound advice, management approaches, and technical solutions⁰́₄but few with one common theme that pulls together management and technology, with a focus on executive oversight. Author Ryan Leirvik helps solve these common problems by providing a clear, easy-to-understand, and easy-to-deploy "playbook" for a cyber risk management approach applicable to your entire organization. This second edition provides tools and methods in a straight-forward, practical manner to guide the management of a cybersecurity program. Expanded sections include the critical integration of cyber risk management into enterprise risk management, the important connection between a Software Bill of Materials and Third-party Risk Programs, and additional "how to" tools and material for mapping frameworks to controls. Praise for Understand, Manage, and Measure Cyber Risk What lies ahead of you in the pages of this book? Clean practicality, not something that just looks good on paper⁰́₄brittle and impractical when exposed to the real world. I prize flexibility and simplicity instead of attempting to have answers for everything and the rigidity that results. This simplicity is what I find valuable within Ryan's book. Tim Collyer, Motorola Solutions It seems that I have found a kindred spirit⁰́₄a builder who has worked with a wide variety of client CISOs on their programs, gaining a deep understanding of how a successful and sustainable program should be constructed. Ryan's cyber work in the US Department of Defense, his McKinsey & Company consulting, and his advisory and survey work with IANS give him a unique global view of our shared passion. Nicholas J. Mankovich, PhD, MS, CISPP.
    Note: Includes index. - Online resource; title from PDF title page (SpringerLink, viewed June 22, 2023)
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  • 45
    Online Resource
    Online Resource
    Sebastopol, California : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (34 pages) , illustrations
    Edition: [First edition].
    DDC: 005.75/6
    Keywords: Database management ; Information storage and retrieval systems
    Abstract: Every organization needs insight to succeed and excel, and the primary foundation for insights today is data—whether it's internal data from operational systems or external data from partners, vendors, and public sources. But how can you use this data to create and maintain analytics applications capable of gaining real insights in real time? In this report, Darin Briskman explains that leading organizations like Netflix, Walmart, and Confluent have found that while traditional analytics still have value, it's not enough. These companies and many others are now building real-time analytics that deliver insights continually, on demand, and at scale—complete with interactive drill-down data conversations, subsecond performance at scale, and always-on reliability.
    Note: Includes bibliographical references
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  • 46
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.74
    Keywords: Amazon Web Services (Firm) ; Database management ; Information organization ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by Informatica Join experts Rajeev Srinivasan (Informatica) and Dilip Kikla (AWS) to learn how data professionals can achieve comprehensive, cohesive, and incremental data management across data discovery, ingestion, security, governance, and democratization with Informatica's Intelligent Data Management Cloud (IDMC) built on AWS. You'll learn how to modernize your data analytics and machine learning pipelines in the cloud to easily make data-driven decisions and share data across the organization. What you'll learn and how you can apply it Manage data with Informatica's Intelligent Data Management Cloud platform Address the needs of the data consumer, data producer, and data owner using IDMC Reference architecture for Informatica-enabled modern data platform (data lake and data mesh) on AWS This recording of a live event is for you because... You're a data engineer, data architect, data manager, analytics architect, data governance specialist, data warehouse architect, or information architect. You work with data management tools. Recommended follow-up: Watch Getting Started with Informatica (on-demand course) Read Learning Informatica PowerCenter 10.x, second edition (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed March 20, 2023)
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  • 47
    Online Resource
    Online Resource
    [Place of publication not identified] : Ascent Audio
    ISBN: 9781663721198 , 166372119X
    Language: English
    Pages: 1 online resource (1 audio file (14 hr., 1 min.))
    Edition: [First edition].
    DDC: 005.7
    Keywords: Big data ; Database management ; Business enterprises Data processing ; Information technology Management ; Big data ; Business enterprises ; Data processing ; Database management ; Information technology ; Management ; Audiobooks ; Audiobooks
    Abstract: We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale. Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance. - Get a complete introduction to data mesh principles and its constituents - Design a data mesh architecture - Guide a data mesh strategy and execution - Navigate organizational design to a decentralized data ownership model - Move beyond traditional data warehouses and lakes to a distributed data mesh.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 28, 2023)
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  • 48
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 40 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004/.33
    Keywords: Real-time data processing ; Database management ; Information visualization ; Information storage and retrieval systems ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Quickly collecting, analyzing, and visualizing data to make data-driven business decisions is imperative to building an effective data strategy--and to maintaining a competitive edge for your business. We can now do analytics that reflect data in near real time, enabling better and faster insights at the point of decision. We can also process and query new data faster than ever before, running hundreds of thousands of queries per second with added layers of cutting-edge analytical capabilities. So what does this mean for your organization? The ability to unlock faster, more actionable insights for all in real time. Join us to dive deeply into the modern world of real-time analytics. Data engineers, developers, and architects will explore the latest trends in real-time analytics--including modern data applications, streaming technologies, data architecture, and tools--straight from experts and practitioners successfully putting them to use in the field.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 49
    ISBN: 9780738461175 , 0738461172
    Language: English
    Pages: 1 online resource (136 pages) , illustrations (some color)
    Edition: First edition.
    DDC: 005.8
    Keywords: Information technology Security measures ; Computer security Management ; Computer networks Security measures ; Data protection ; Computer networks ; Security measures ; Computer security ; Management ; Data protection ; Information technology ; Security measures
    Abstract: Non-compliance can lead to increasing costs. Regulatory violations involving data protection and privacy can have severe and unintended consequences. In addition, companies must keep pace with changes that arise from numerous legislative and regulatory bodies. Global organizations have the added liability of dealing with national and international-specific regulations. Proving that you are compliant entails compiling and organizing data from multiple sources to satisfy auditor's requests. Preparing for compliance audits can be a major time drain, and maintaining, updating, and adding new processes for compliance can be a costly effort. How do you keep constant changes to regulations and your security posture in check? It starts with establishing a baseline: knowing and understanding your current security posture, comparing it with IBM Z℗ʼ security capabilities, and knowing the latest standards and regulations that are relevant to your organization. IBM Z Security and Compliance Center can help take the complexity out of your compliance workflow and the ambiguity out of audits while optimizing your audit process to reduce time and effort. This IBM Redbooks℗ʼ publication helps you make the best use of IBM Z Security and Compliance Center and aid in mapping all the necessary IBM Z security capabilities to meet compliance and improve your security posture. It also shows how to regularly collect and validate compliance data, and identify which data is essential for auditors. After reading this document, you will understand how your organization can use IBM Z Security and Compliance Center to enhance and simplify your security and compliance processes and postures for IBM z/OS℗ʼ systems. This publication is for IT managers and architects, system and security administrators.
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  • 50
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Amazon Web Services (Firm) ; Database management ; Database design ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos ; Infonuagique ; Logiciels d'application ; Développement ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Achieving Scalability with Vector, Graph, and Key/Value Databases Description This week we explore vector and graph databases, powerful tools for managing and extracting insights from large, complex datasets. As data volumes continue to grow, scalability is crucial. We'll learn how vector and graph databases can efficiently store data while maintaining relationships, enabling more advanced analytics. Through real-world examples, you'll see how these databases unlock scalability for machine learning, fraud detection, social networks, and more. Learning Objectives Learn Vector, Graph, SQLand Key/Value Databases Learning to build solutions with Rust, Vector, Graph, and Key/Value Databases Learning advanced data engineering Additional Popular Resources 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: "Rough draft.". - "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed October 17, 2023)
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  • 51
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions
    Language: Undetermined
    Pages: 1 online resource (1 video file)
    DDC: 005.7
    Keywords: Database management ; Database design ; Bases de données ; Gestion ; Bases de données ; Conception ; Database design ; Database management ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Achieving Scalability with Vector, Graph, and Key/Value Databases Description This week we explore vector and graph databases, powerful tools for managing and extracting insights from large, complex datasets. As data volumes continue to grow, scalability is crucial. We'll learn how vector and graph databases can efficiently store data while maintaining relationships, enabling more advanced analytics. Through real-world examples, you'll see how these databases unlock scalability for machine learning, fraud detection, social networks, and more. Learning Objectives Learn Vector, Graph, SQLand Key/Value Databases Learning to build solutions with Rust, Vector, Graph, and Key/Value Databases Learning advanced data engineering Additional Popular Resources 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: Machine-generated record
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  • 52
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6782
    Keywords: Database management ; Big data ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for this edition of O'Reilly Book Club with Joe Reis and Matt Housley, authors of Fundamentals of Data Engineering, to discover the stages of the data engineering lifecycle and learn to identify the various underlying components of the field, including security, data management, and orchestration. Hear from authors, learn tricks of the trade, and listen to stories. What you'll learn and how you can apply it Receive a concise overview of the data engineering landscape Learn how to evaluate the best technologies available through the framework of the data engineering lifecycle Understand data governance and security across the data engineering lifecycle This live event is for you because... You want to go beyond the words on the page and ask your own questions. You're a data engineer who wants to learn about the latest developments in the field. You're a current software engineer or data scientist who wants to transition into data engineering, or who may be doing some data engineering work in your current role. You're a data team manager who wants to understand how to better optimize your team and contribute positively to your organization. Recommended follow-up: Read Fundamentals of Data Engineering (book) Follow Data Engineering Resource Center (expert playlist).
    Note: Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 53
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 52 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.74
    Keywords: MongoDB ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: MongoDB is one of the most widely used databases in the enterprise. It employs a document-based data model that allows for agile and iterative development, is designed to be highly scalable, and can handle large amounts of data. Understanding the fundamentals of MongoDB is crucial for any data professional who wants to work with modern data technologies and build scalable applications with a robust database. In this on-demand course, join Jean Nunes da Silva as he guides you on how to get started with MongoDB. You'll learn about key components and the internal structure of MongoDB; how to create and manage databases, collections, and documents; how to use CRUD operations to manage data effectively; how to use indexes to optimize query performance, as well as advanced querying techniques; and how and when to use security features. After this course, you'll be able to create, manage, and develop on a MongoDB database for your own data driven applications. What you'll learn and how you can apply it MongoDB's internal structure Data modeling concepts and best practices for MongoDB MongoDB security and best practices Install MongoDB Design and build MongoDB databases and collections Query and filter data in MongoDB using different techniques Optimize MongoDB query performance This course is for you because... You're a developer whos want to build scalable, modern applications by using a popular NoSQL database that offers a flexible data model and high performance. You're a database administrator who wants to expand your knowledge of database management and add MongoDB to your skillset. You're a data analyst who needs to work with large datasets and want to learn how to use a powerful set of querying and aggregation tools, via MongoDB, to perform advanced analytics. You're a data engineer who wants to learn how to design and build MongoDB databases and collections, as well as best practices on modeling data to build a scalable and responsive structure. Prerequisites: Basic command-line proficiency Previous experience with other databases or programming language knowledge, such as JavaScript, is welcome but not required.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 54
    Online Resource
    Online Resource
    Boca Raton : CRC Press
    ISBN: 9781000922493 , 1000922499 , 9781000922479 , 1000922472
    Language: English
    Pages: 1 online resource (152 pages) , illustrations (black and white).
    Parallel Title: Erscheint auch als
    DDC: 005.8
    Keywords: Computer networks Security measures ; Computer security ; Trust ; Internet users Identification ; Réseaux d'ordinateurs ; Sécurité ; Mesures ; Sécurité informatique ; Confiance ; Internautes ; Identification ; Computer networks ; Security measures ; Computer security ; Trust
    Abstract: The Cybersecurity landscape is a daunting one today. It is nothing like it was 10 years ago. Now, it has become very complex, covert, dynamic, and stealthy. It has literally become a cat and mouse game, in which the Cyberattacker is still one step ahead. This is despite all of the technology that is available to us a society, which includes Artificial Intelligence (AI) and Machine Learning. Part of the other problem is that human beings are resistant to change. For example, the password is still the favored way of authenticating and authorizing an individual, but it too has shown its grave limitations. Despite the use of Password Managers, which can create long and complex passwords, people still resort to their old fashioned ways of doing things. So what is needed now is an extreme change, in which, unfortunately, people have no choice in whether or not they will participate. It is called the Zero Trust Framework, and in this methodology, absolutely nobody can be trusted in either the internal or the external environments. The mantra here is to keep verifying everybody, all the time. The Zero Trust Framework also involves the concept of segmentation, in which the IT and Network Infrastructure of a business is broken down into smaller components, much like a Subnet. Each component will have its own layer of security, and every individual must be authenticated via the use of Multifactor Authentication (MFA). In this book, we review both the concepts and mechanics behind the Zero Trust Framework. We also introduce advanced technologies into it, including the use of Biometrics, the Public Key Infrastructure, and Quantum Mechanics/Quantum Cryptography.
    Note: Includes bibliographical references and index. - Print version record
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  • 55
    ISBN: 9781484289457 , 1484289455
    Language: English
    Pages: 1 online resource (xx, 392 pages) , illustrations
    Edition: [First edition].
    Parallel Title: Erscheint auch als
    Keywords: SQL (Computer program language) ; Database management ; Cloud computing ; Electronic books
    Abstract: Access all the information you need to begin using the MySQL Database Service (MDS) in the Oracle Cloud Infrastructure (OCI). MDS is Oracle’s new platform as a service (PAAS) offering for open-source database users. This book covers getting started with an account in OCI, gives a brief overview of OCI services available, and provides a short tutorial on MDS. Reading this book helps you take advantage of the powerful OCI features by building your own MySQL database in the cloud. Examples in this book center around running MDS in OCI, and include several of the popular use cases as well as advice on how to implement them. In addition, you will learn more about the related MDS OCI features, such as the high availability features currently available. Finally, you will learn how to back up and restore your data as well as how to get your data into and out of the cloud. The skills you learn in this book will help you get started using MDS and letting Oracle do the heavy lifting of managing MDS operations and implementation.
    Note: Includes bibliographical references and index
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  • 56
    Language: German
    Pages: 1 online resource (388 pages) , illustrations
    Edition: 1. Auflage.
    DDC: 005.7
    Keywords: Big data ; Database management ; Business enterprises Data processing ; Information technology Management
    Abstract: Wir befinden uns an einem Wendepunkt im Umgang mit Daten. Unser bisheriges Datenmanagement wird der Komplexität der Organisationsstrukturen, der immer zahlreicheren Datenquellen und dem steigenden Interesse am Einsatz von künstlicher Intelligenz nicht mehr gerecht. In diesem praxisorientierten Buch führt die Autorin Zhamak Dehghani in Data Mesh ein, ein dezentrales soziotechnisches Paradigma basierend auf Konzepten moderner verteilter Architekturen. Data Mesh ist ein neuer Ansatz für die Beschaffung, Bereitstellung, den Zugriff und die Verwaltung analytischer Daten, der auch skaliert. Zhamak Dehghani begleitet Softwarearchitekt:innen, Entwickler:innen und Führungskräfte auf ihrem Weg von einer traditionellen, zentralen Big-Data-Architektur hin zu einer verteilten, dezentralen Organisationsstruktur für die Verwaltung analytischer Daten. Dabei behandelt Data Mesh Daten als Produkt, ist stark domänengetrieben und zielt auf eine Self-Serve-Datenplattform ab. Das Buch erläutert technische Migrationsstrategien, aber auch den organisatorischen Wandel hin zu neuen Teamstrukturen, Rollen und Verantwortlichkeiten, die mit dezentralen Architekturen einhergehen.
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  • 57
    ISBN: 9788383223391 , 8383223390
    Language: Polish
    Pages: 1 online resource (256 pages) , illustrations
    Edition: [First edition].
    Uniform Title: Data pipelines pocket reference
    DDC: 005.75/65
    Keywords: Database management ; Information technology Management ; Information retrieval
    Abstract: Poprawnie zaprojektowane i wdrożone potoki danych mają kluczowe znaczenie dla pomyślnej analizy danych, a także w trakcie uczenia maszynowego. Pozyskanie ogromnych ilości danych z różnych źródeł najczęściej nie stanowi problemu. Nieco trudniejsze jest zaprojektowanie procesu ich przetwarzania w celu dostarczenia kontekstu w taki sposób, aby efektywnie korzystać z posiadanych danych w codziennej pracy organizacji i podejmować dzięki nim rozsądne decyzje. Oto zwięzły przewodnik przeznaczony dla inżynierów danych, którzy chcą poznać zasady implementacji potoków danych. Wyjaśnia najważniejsze pojęcia związane z potokami danych, opisuje zasady ich tworzenia i implementacji, prezentuje także najlepsze praktyki stosowane przez liderów w branży analizy danych. Dzięki książce zrozumiesz, w jaki sposób potoki danych działają na nowoczesnym stosie danych, poznasz też typowe zagadnienia, które trzeba przemyśleć przed podjęciem decyzji dotyczących implementacji. Dowiesz się, jakie są zalety samodzielnego opracowania rozwiązania, a jakie - zakupu gotowego produktu. Poznasz również podstawowe koncepcje, które mają zastosowanie dla frameworków typu open source, produktów komercyjnych i samodzielnie opracowywanych rozwiązań.
    Note: Includes bibliographical references and index
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  • 58
    ISBN: 9781837639656 , 1837639655 , 9781837635153
    Language: English
    Pages: 1 online resource (414 p.)
    Edition: 3rd ed.
    DDC: 364.16/8
    Keywords: Kali Linux ; Computer crimes Investigation ; Computer networks Security measures ; Penetration testing (Computer security) ; Kali Linux ; Computer crimes ; Investigation ; Computer networks ; Security measures ; Penetration testing (Computer security)
    Abstract: Kali Linux is a Linux-based distribution that's widely used for penetration testing and digital forensics. This third edition is updated with real-world examples and detailed labs to help you take your investigation skills to the next level using powerful tools. This new edition will help you explore modern techniques for analysis, extraction, and reporting using advanced tools such as FTK Imager, Hex Editor, and Axiom. You'll cover the basics and advanced areas of digital forensics within the world of modern forensics while delving into the domain of operating systems. As you advance through the chapters, you'll explore various formats for file storage, including secret hiding places unseen by the end user or even the operating system. You'll also discover how to install Windows Emulator, Autopsy 4 in Kali, and how to use Nmap and NetDiscover to find device types and hosts on a network, along with creating forensic images of data and maintaining integrity using hashing tools. Finally, you'll cover advanced topics such as autopsies and acquiring investigation data from networks, memory, and operating systems. By the end of this digital forensics book, you'll have gained hands-on experience in implementing all the pillars of digital forensics: acquisition, extraction, analysis, and presentation – all using Kali Linux's cutting-edge tools.
    Note: Description based upon print version of record. - Order of volatility
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  • 59
    Language: German
    Pages: 1 online resource (572 pages) , illustrations
    Edition: 3. Auflage.
    DDC: 005.75/65
    Keywords: SQL server ; Client/server computing ; Database management
    Abstract: SQL Server 2022 und die kostenlose Version SQL Server 2022 Express sind ideal, um in die professionelle Datenbankentwicklung einzusteigen. Sie können mit ihnen komplexe Datenbankprojekte verwirklichen, die die Funktionalität einer Desktop-Datenbank wie Microsoft Access deutlich übersteigen.Wenn Sie tiefer in die Datenbankentwicklung mit einem professionellen Datenbankserver einsteigen wollen, ist dieses Buch genau das Richtige für Sie. Es vermittelt leicht verständlich sowohl die Datenbankgrundlagen als auch das Programmierwissen, das Sie benötigen, um die umfangreichen Möglichkeiten von SQL Server 2022 zu nutzen. Aufgrund des didaktisch durchdachten Konzepts mit vielen Übungen und Praxistipps ermöglicht dieses Buch Ihnen eine fundierte Einarbeitung in die Entwicklung von Datenbanken. Es basiert auf der kostenfrei erhältlichen Version SQL Server 2022 Express, eignet sich aber auch für größere SQL-Server-Editionen.- Einführung: die Neuerungen bei SQL Server 2022; Installation und erste Schritte- Datenbankgrundlagen: Datenbanken, Tabellen und Sichten erstellen, bearbeiten und verwenden; Kurzeinführung in SQL- Datenbankentwicklung: erweiterte SQL-Features (CTEs, Sequenzen, Temporal Tables); räumliche und hierarchische Datentypen, XML und JSON; SQL-Skripte; Fehlerbehandlung; Sperren, Transaktionen und Deadlocks; gespeicherte Prozeduren, Funktionen, Trigger und Cursor- Datenbankadministration mit SQL: Benutzer, Rollen und Rechte; Daten sichern und bewegen- Fortgeschrittene Themen: Graphdatenbanken; Integration von R und Python; SQL Server und .NET- Erweiterte Funktionen: Datenebenenanwendungen; SQL Server Data Tools; Reporting Services; SQL Server LocalDB; SQL Server und die Cloud; Azure Data Studio
    Note: Includes bibliographical references and index
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  • 60
    ISBN: 9780738461328 , 0738461326
    Language: English
    Pages: 1 online resource (70 pages) , illustrations
    Edition: [First edition].
    Series Statement: Redbooks
    DDC: 004.5
    Keywords: Computer storage devices ; Information storage and retrieval systems ; Database management ; Information technology Management
    Abstract: This IBM® Redpaper® Product Guide describes the IBM Storage FlashSystem® 9500 solution, which is a next-generation IBM Storage FlashSystem control enclosure. It combines the performance of flash and a Non-Volatile Memory Express (NVMe)-optimized architecture with the reliability and innovation of IBM FlashCore® technology and the rich feature set and high availability (HA) of IBM Storage Virtualize. Often, applications exist that are foundational to the operations and success of an enterprise. These applications might function as prime revenue generators, guide or control important tasks, or provide crucial business intelligence, among many other jobs. Whatever their purpose, they are mission critical to the organization. They demand the highest levels of performance, functionality, security, and availability. They also must be protected against the newer threat of cyberattacks. To support such mission-critical applications, enterprises of all types and sizes turn to the IBM Storage FlashSystem 9500.
    Note: Includes bibliographical references
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  • 61
    ISBN: 9781484294932 , 1484294939
    Language: English
    Pages: 1 online resource (xxiii, 377 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 005.75/6
    Keywords: SQL (Computer program language) ; Database management ; SQL (Langage de programmation) ; Bases de données ; Gestion ; Database management ; SQL (Computer program language)
    Abstract: Learn the basics of writing SQL scripts. Using Standard SQL as the starting point, this book teaches writing SQL in various popular dialects, including PostgreSQL, MySQL/MariaDB, Microsoft SQL Server, Oracle, and SQLite. The book starts with a general introduction to writing SQL and covers the basic concepts. Author Mark Simon then covers database principles, and how database tables are designed. He teaches you how to filter data using the WHERE clause, and you will work with NULL, numbers, dates, and strings. You will also understand sorting results using the ORDER BY clause, sorting by calculated columns, and limiting the number of results. By the end of the book, you will know how to insert and update data, and summarize data with aggregate functions and groups. Three appendices cover differences between SQL dialects, working with tables, and a crash course in PDO. What You Will Learn Filter, sort, and calculate data Summarize data with aggregate functions Modify data with insert, update, and delete statements Study design principles in developing a database Who This Book Is For Developers and analysts working with SQL, as well as web developers who want a stronger understanding of working with databases Mark Simon has been involved in training and education since the beginning of his career. He started as a teacher of mathematics and moved into IT consultancy and training. He has worked with and trained in several programming and coding languages, and currently focuses on web development and database languages.
    Note: Includes index. - Online resource; title from PDF title page (SpringerLink, viewed June 20, 2023)
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  • 62
    Online Resource
    Online Resource
    New York, NY : Apress
    ISBN: 9781484290330 , 148429033X
    Language: English
    Pages: 1 online resource (xxi, 423 pages) , illustrations
    Edition: [First edition].
    Parallel Title: Erscheint auch als
    Keywords: Oracle (Computer file) ; Linux ; Database management ; Operating systems (Computers) ; Electronic books
    Abstract: Discover the benefits of running Oracle databases in Linux containers. This book approaches containers from the perspective of database administrators, developers, and systems administrators. It explains the differences between containers and virtual machines and describes why containers deliver greater speed, flexibility, and portability, with lower resource requirements. You’ll learn how running Oracle databases in containers complements existing database infrastructure and accelerates development, and you’ll understand the advantages they offer for test and validation environments. This book teaches you how to begin working with Oracle databases in Docker, covering the steps for preparing and installing software on Windows, Mac, and Linux systems. It describes the steps for deploying Oracle databases, separating data and configurations from database software, and networking and communicating with your containers. It introduces the Docker commands you’ll use for managing containers, including tips and shortcuts to make everyday tasks easier. Databases have unique demands for performance and reliability, and this book addresses those qualities with discussions on protecting, persisting, and distributing data. Other books may overlook these topics and approach containers as disposable commodities in serverless environments or convenient coding platforms. You’ll gain battle-tested insights for customizing and extending your containers to meet different needs. The opening chapters concentrate on the practical steps of running Oracle databases in Docker. Once you’re comfortable with container terminology and methods, you’ll look deeper at the real power behind containers—preparing and building images, and the templates that form the foundation beneath every container. You’ll begin by modifying publicly available image manifests, or Dockerfiles, following multiple examples that add functionality and capabilities to your databases. You’ll discover methods for using run-time options to create flexible and extensible images that adapt to real-world requirements. Within the pages, you’ll see how Oracle and Docker empower you to confidently build and deploy systems. It’s written with databases and database users in mind and delivers practical advice based on the author’s real-world, battle-tested experiences deploying and running Oracle databases in containers since 2014. With Oracle databases in containers, database administrators have the ideal platform for evaluating performance, practicing database upgrades and migrations, validating backup and recovery processes, and hardening environments. Developers will find that the marriage of Oracle and Docker simplifies code and application tests. Docker’s unique ability to isolate data artifacts improves reliability and confidence in test and QA processes. If you’re a database administrator, this book will help you join the container revolution sweeping the industry and making IT professionals more productive than ever!
    Note: Includes index
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  • 63
    ISBN: 9788383225418 , 8383225415
    Language: Polish
    Pages: 1 online resource (552 pages) , illustrations
    Edition: [First edition].
    Uniform Title: Designing data-intensive applications
    DDC: 005.3
    Keywords: Web site development ; Application software Development ; Database management
    Abstract: Przetwarzanie i bezpieczne przechowywanie danych absorbuje uwagę inżynierów oprogramowania w coraz większym stopniu. W ostatnich latach pojawiło się wiele bardzo różnych rozwiązań w dziedzinie baz danych, systemów rozproszonych i metodyce budowania aplikacji. Sprzyjają temu zarówno rozwój technologii, rosnące potrzeby dotyczące dostępu do danych, jak i malejąca tolerancja na przestoje spowodowane awarią czy konserwacją systemu. To wszystko sprawia, że zespoły projektujące aplikacje muszą cały czas aktualizować swoją wiedzę i znakomicie orientować się w zakresie słabych i silnych stron poszczególnych rozwiązań oraz możliwości ich stosowania. I właśnie ta książka Ci to ułatwi. Dzięki niej zaczniesz orientować się w świecie szybko zmieniających się technologii przetwarzania i przechowywania danych. Znajdziesz tu przykłady skutecznych systemów spełniających wymogi skalowalności, wydajności i niezawodności. Zapoznasz się z wewnętrznymi mechanizmami tych systemów, analizami najważniejszych algorytmów, omówieniem zasad działania i koniecznymi kompromisami. Przy okazji przyswoisz sobie przydatne sposoby myślenia o systemach danych. W ten sposób rozwiniesz dobre intuicyjne zrozumienie tego, jak i dlaczego działają systemy, co pozwoli Ci analizować ich pracę, podejmować trafne decyzje projektowe i wyszukiwać źródła pojawiających się problemów.
    Note: Includes bibliographical references and index
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  • 64
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional
    ISBN: 9780138223076 , 0138223076
    Language: Undetermined
    Pages: 1 online resource
    DDC: 005.13/3
    Keywords: MySQL (Electronic resource) ; SQL (Computer program language) ; Database management ; MySQL (Electronic resource) ; SQL (Langage de programmation) ; Bases de données ; Gestion ; Database management ; SQL (Computer program language)
    Abstract: MySQL is one of the most popular database management systems available, powering everything from Internet powerhouses to individual corporate databases to simple end-user applications, and everything in between. This book will teach you all you need to know to be immediately productive with the latest version of MySQL. By working through 30 highly focused hands-on lessons, your MySQL Crash Course will be both easier and more effective than youd have thought possible. Learn How To Retrieve and Sort Data Filter Data Using Comparisons, Regular Expressions, Full Text Search, and Much More Join Relational Data Create and Alter Tables Insert, Update, and Delete Data Leverage the Power of Stored Procedures and Triggers Use Views and Cursors Manage Transactional Processing Create User Accounts and Manage Security via Access Control.
    Note: Machine-generated record
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  • 65
    ISBN: 9780738461342 , 0738461342
    Language: English
    Pages: 1 online resource (70 pages) , illustrations
    Edition: [First edition].
    Series Statement: Redbooks
    DDC: 004.5
    Keywords: Computer storage devices ; Information storage and retrieval systems ; Database management ; Information technology Management
    Abstract: This IBM® Redpaper® Product Guide publication describes the IBM Storage FlashSystem® 5200 solution, which is a next-generation IBM Storage FlashSystem control enclosure. It is an NVMe end-to-end platform that is targeted at the entry and midrange market and delivers the full capabilities of IBM FlashCore® technology. It also provides a rich set of software-defined storage (SDS) features that are delivered by IBM Storage Virtualize, including the following features: Data reduction and deduplication Dynamic tiering Thin provisioning Snapshots Cloning Replication Data copy services Transparent Cloud Tiering IBM HyperSwap® including 3-site replication for high availability (HA) Scale-out and scale-up configurations further enhance capacity and throughput for better availability. The IBM Storage FlashSystem 5200 is a high-performance storage solution that is based on a revolutionary 1U form factor. It consists of 12 NVMe Flash Devices in a 1U storage enclosure drawer with full redundant canister components and no single point of failure. It is designed for businesses of all sizes, including small, remote, branch offices and regional clients. It is a smarter, self-optimizing solution that requires less management, which enables organizations to overcome their storage challenges. Flash has come of age and price point reductions mean that lower parts of the storage market are seeing the value of moving over to flash and NVMe--based solutions. The IBM Storage FlashSystem 5200 advances this transition by providing incredibly dense tiers of flash in a more affordable package. With the benefit of IBM FlashCore Module compression and new QLC flash-based technology becoming available, a compelling argument exists to move away from Nearline SAS storage and on to NVMe. This Product Guide is aimed at pre-sales and post-sales technical support and marketing and storage administrators.
    Note: Includes bibliographical references
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  • 66
    Online Resource
    Online Resource
    [Place of publication not identified] : Ascent Audio
    ISBN: 9781663732354 , 1663732353
    Language: English
    Pages: 1 online resource (1 sound file (17 hr., 30 min.))
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Database management ; Big data ; Data mining ; Audiobooks
    Abstract: Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: get a concise overview of the entire data engineering landscape; assess data engineering problems using an end-to-end framework of best practices; cut through marketing hype when choosing data technologies, architecture, and processes; use the data engineering lifecycle to design and build a robust architecture; and incorporate data governance and security across the data engineering lifecycle.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 67
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835466735 , 1835466737
    Language: English
    Pages: 1 online resource (1 video file (7 hr., 11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.75/85
    Keywords: SQL server ; Client/server computing ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: T-SQL, which stands for Transact-SQL, is a powerful extension of the Structured Query Language (SQL). It is a specialized programming language for interacting with and managing Microsoft SQL Server databases. T-SQL is proprietary to Microsoft and is the standard language for querying, modifying, and managing data in an SQL Server. The course covers all aspects of Microsoft SQL Server and Transact-SQL (T-SQL), from the basics to advanced topics. We will start by understanding SQL fundamentals and then proceed to hands-on exercises for installing SQL Server and Azure Data Studio. We will learn to create, modify, and manage database objects, perform data querying, filtering, and sorting, and explore advanced topics such as JOIN operations, subqueries, and window functions. The course also delves into database administration, transactions, and advanced query concepts. Practical skills in T-SQL development, database management, and optimization will be imparted, making it suitable for beginners and those looking to advance their database expertise. Upon completing this course, we will master Microsoft SQL Server/T-SQL. We will gain the skills to design, manage, and optimize databases and write efficient queries. This expertise opens doors to a wide range of career opportunities in the data management and analysis fields. What You Will Learn Master data analysis and reporting using SQL Server Explore database security and configuration Understand how to create and manage views Learn the practical use of variables and functions Understand the use of stored procedures and triggers Audience This course caters to a diverse audience, including beginners looking to establish a solid foundation in SQL Server and T-SQL, database developers aiming to enhance their SQL skills in the SQL Server ecosystem, application developers seeking to expand their SQL knowledge, IT professionals in database administration tasks, data analysts working with SQL Server databases, and career changers considering roles in database development, analysis, or administration. A basic understanding of database concepts is recommended. Access to a Microsoft SQL Server environment for hands-on practice is desirable. About The Authors Trevoir Williams: Trevoir Williams is a software engineer, lecturer, and author. With a master's degree in computer science, he has spent over a decade teaching web, software, and database development courses. He also has extensive industry experience in web application development, Azure cloud services, and server administration. He enjoys teaching IT and development courses and hopes to impart knowledge of the latest developments in industry standards and techniques to his students. Emar Morrison: Emar J. Morrison, a seasoned database administrator with nearly a decade of experience, excels in managing databases for organizations of all sizes and is proficient in cloud platforms like AWS and Azure. Emar is also a skilled content creator, crafting informative pieces on database administration, cloud computing, investments, and personal finance, all designed to empower and educate his audience for success.
    Note: "Updated October 2023.". - Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 68
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835467381 , 1835467385
    Language: English
    Pages: 1 online resource (1 video file (13 hr., 20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.75/8
    Keywords: Oracle (Computer file) ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Embark on a comprehensive journey through Oracle Multitenant architecture in this course. You will start with an introduction to its key concepts and create a robust Oracle 12c multitenant CDB container on a Linux platform. You will master the art of PDB creation, from establishing them from the seed and cloning them locally or remotely, even exploring the nuances of refreshable PDBs. You will then look at plugging in and relocating PDBs, along with creating them from non-CDB databases and setting up Proxy PDBs. After that, you will create and manage common and local user accounts and roles. Gain expertise in managing PDB lockdown profiles to ensure a secure multitenant container. Master backup and recovery techniques like PITR and database flashback and become adept at using the Resource Manager in multitenant containers. Harness the capabilities of the Data Pump utility with PDBs, and oversee applications, application containers, application PDBs, and common objects. The course covers the latest features in Oracle 18c and 19c. Dive into managing the CDB fleet, navigating a PDB Snapshot Carousel, executing Switch Over actions for Refreshable Clone PDBs, and perfecting PDB cloning and relocation using DBCA. By the end of the course, you will be able to build a reliable, secure, and easy-to-manage Oracle multitenant database. What You Will Learn Learn Oracle multitenant architecture and create multitenant CDB Create a pluggable database using different methods Create and manage common and local user accounts Perform backup and recovery along with PITR and flashback Use Resource Manager in a container database and data pump utility with PDBs Manage applications, application containers, and PDB lockdown profiles Audience This course is tailored for experienced Oracle Database Administrators (DBAs) aiming to enhance their proficiency in effectively managing Oracle Database Multitenant architecture. To get the most out of this course, one needs a foundational understanding of Oracle database administration and proficiency in the Linux operating system. The other prerequisites are a basic knowledge of the Linux operating system and access to a computer with a minimum configuration of 16 GB RAM, 100 GB HDD, running a 64-bit version of Windows 7, 8, or 10 with Oracle VirtualBox installed. About The Author Ahmed Baraka: Ahmed Baraka has 25 years of extensive experience in the computer industry, with a focus on Oracle database administration technologies used in complex and high-availability environments. Baraka's expertise is designing and maintaining database solutions for complex business needs using a wide selection of technologies, such as Oracle RAC, ASM, Data Guard, GoldenGate, WebLogic, Database Appliance, and Enterprise Manager. He has worked with international firms in Australia and Abu Dhabi. His hobbies are soccer (football) and listening to soft music.
    Note: "Updated October 2023.". - Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 69
    ISBN: 9781837635641
    Language: English
    Pages: 1 online resource (744 pages) , illustrations
    Edition: Second edition.
    DDC: 005.74
    Keywords: PostgreSQL ; Database management ; SQL (Computer program language) ; Bases de données ; Gestion ; SQL (Langage de programmation)
    Abstract: The latest edition of this PostgreSQL book will help you to start using PostgreSQL from absolute scratch, helping you to quickly understand the internal workings of the database. With a structured approach and practical examples, go on a journey that covers the basics, from SQL statements and how to run server-side programs, to configuring, managing, securing, and optimizing database performance. This new edition will not only help you get to grips with all the recent changes within the PostgreSQL ecosystem but will also dig deeper into concepts like partitioning and replication with a fresh set of examples. The book is also equipped with Docker images for each chapter which makes the learning experience faster and easier. Starting with the absolute basics of databases, the book sails through to advanced concepts like window functions, logging, auditing, extending the database, configuration, partitioning, and replication. It will also help you seamlessly migrate your existing database system to PostgreSQL and contains a dedicated chapter on disaster recovery. Each chapter ends with practice questions to test your learning at regular intervals. By the end of this book, you will be able to install, configure, manage, and develop applications against a PostgreSQL database.
    Note: Includes bibliographical references and index
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  • 70
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (324 pages) , illustrations
    Edition: [First edition].
    DDC: 005.74
    Keywords: Database management ; SQL (Computer program language) ; Cloud computing ; Bases de données ; Gestion ; SQL (Langage de programmation) ; Infonuagique
    Abstract: With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw data into clean, well-defined datasets. dbt (data build tool) helps you take data further. This practical book shows data analysts, data engineers, BI developers, and data scientists how to create a true self-service transformation platform through the use of dynamic SQL. Authors Rui Machado from Monstarlab and Hélder Russa from Jumia show you how to quickly deliver new data products by focusing more on value delivery and less on architectural and engineering aspects. If you know your business well and have the technical skills to model raw data into clean, well-defined datasets, you'll learn how to design and deliver data models without any technical influence.
    Note: Includes index
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  • 71
    ISBN: 9781484293461 , 1484293460
    Language: German
    Pages: 1 online resource
    Uniform Title: Chief data officer management handbook
    Parallel Title: Erscheint auch als
    DDC: 658.4/038
    Keywords: Information resources management ; Management information systems ; Statistics ; Database management ; Information technology ; Business Data processing ; Business ; Management science ; Management ; Electronic data processing ; Management Data processing ; Gestion de l'information ; Systèmes d'information de gestion ; Statistique ; Bases de données ; Gestion ; Technologie de l'information ; Gestion ; Informatique ; Affaires ; Sciences de la gestion ; Gestion ; statistics ; information technology ; business (commercial function) ; management
    Abstract: Es lässt sich nicht leugnen, dass das 21. Jahrhundert datengesteuert ist, wobei viele digitale Branchen auf die sorgfältige Erfassung und Analyse großer Mengen von Informationen angewiesen sind. Ein Chief Data Officer (CDO) in einem Unternehmen ist der Leiter dieses Prozesses, was diese Position oft zu einer Herausforderung macht. Das Chief Data Officer Management Handbook soll hier Abhilfe schaffen. In diesem Buch gibt der Autor Martin Treder Ratschläge, wie CDOs besser auf ihren Verantwortungsbereich vorbereitet werden können, wie sie einen nachhaltigeren Ansatz entwickeln und wie sie die typischen Fallstricke vermeiden können. Basierend auf den positiven und negativen Erfahrungen aktueller CDOs hilft das Chief Data Officer Management Handbook dabei, die ideale Struktur eines Datenbüros zu entwerfen, sie zu implementieren und die richtigen Leute an Bord zu holen. Wichtige Themen wie die Datenversorgungskette, die Datenstrategie und die Data Governance werden von Treder sorgfältig behandelt. Als CDO ist es wichtig, dass Sie Ihre Position mit Ihrem gesamten Team effektiv nutzen. Das Chief Data Officer Management Handbook ermöglicht es allen Mitarbeitern, die Verantwortung für die Zusammenarbeit im Bereich Daten zu übernehmen. Daten sind die Grundlage heutiger und zukünftiger technologischer Innovationen, und Sie könnten die Führungspersönlichkeit sein, die die nächste große Veränderung bewirkt.
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  • 72
    ISBN: 9781804612095 , 180461209X , 9781804616024
    Language: English
    Pages: 1 online resource
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 006.3/12
    Keywords: Data mining ; Database management ; Digital libraries ; Semantic Web ; Exploration de données (Informatique) ; Bases de données ; Gestion ; Bibliothèques virtuelles ; Web sémantique
    Abstract: Discover actionable steps to maintain healthy data pipelines to promote data observability within your teams with this essential guide to elevating data engineering practices Key Features Learn how to monitor your data pipelines in a scalable way Apply real-life use cases and projects to gain hands-on experience in implementing data observability Instil trust in your pipelines among data producers and consumers alike Purchase of the print or Kindle book includes a free PDF eBook Book Description In the age of information, strategic management of data is critical to organizational success. The constant challenge lies in maintaining data accuracy and preventing data pipelines from breaking. Data Observability for Data Engineering is your definitive guide to implementing data observability successfully in your organization. This book unveils the power of data observability, a fusion of techniques and methods that allow you to monitor and validate the health of your data. You'll see how it builds on data quality monitoring and understand its significance from the data engineering perspective. Once you're familiar with the techniques and elements of data observability, you'll get hands-on with a practical Python project to reinforce what you've learned. Toward the end of the book, you'll apply your expertise to explore diverse use cases and experiment with projects to seamlessly implement data observability in your organization. Equipped with the mastery of data observability intricacies, you'll be able to make your organization future-ready and resilient and never worry about the quality of your data pipelines again. What you will learn Implement a data observability approach to enhance the quality of data pipelines Collect and analyze key metrics through coding examples Apply monkey patching in a Python module Manage the costs and risks associated with your data pipeline Understand the main techniques for collecting observability metrics Implement monitoring techniques for analytics pipelines in production Build and maintain a statistics engine continuously Who this book is for This book is for data engineers, data architects, data analysts, and data scientists who have encountered issues with broken data pipelines or dashboards. Organizations seeking to adopt data observability practices and managers responsible for data quality and processes will find this book especially useful to increase the confidence of data consumers and raise awareness among producers regarding their data pipelines.
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  • 73
    ISBN: 9781837637898 , 183763789X , 9781837637300
    Language: English
    Pages: 1 online resource
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 005.1068
    Keywords: Computer software Development ; Management ; Database management ; Software engineering Management ; Bases de données ; Gestion
    Abstract: Implement, automate, build, operate, and optimize databases and other data-persistent technologies efficiently by leveraging the right set of DevOps best practices Key Features Implement core operational capabilities via automated pipelines, including testing and rollbacks Create infrastructure, deploy software, test execution, and monitor operations using the as-code strategy Automate common implementation patterns for databases with declarative orchestration frameworks Purchase of the print or Kindle book includes a free PDF eBook Book Description In today's rapidly evolving world of DevOps, traditional silos are a thing of the past. Database administrators are no longer the only experts; site reliability engineers (SREs) and DevOps engineers are database experts as well. This blurring of the lines has led to increased responsibilities, making members of high-performing DevOps teams responsible for end-to-end ownership. This book helps you master DevOps for databases, making it a must-have resource for achieving success in the ever-changing world of DevOps. You'll begin by exploring real-world examples of DevOps implementation and its significance in modern data-persistent technologies, before progressing into the various types of database technologies and recognizing their strengths, weaknesses, and commonalities. As you advance, the chapters will teach you about design, implementation, testing, and operations using practical examples, as well as common design patterns, combining them with tooling, technology, and strategies for different types of data-persistent technologies. You'll also learn how to create complex end-to-end implementation, deployment, and cloud infrastructure strategies defined as code. By the end of this book, you'll be equipped with the knowledge and tools to design, build, and operate complex systems efficiently. What you will learn Apply DevOps best practices to data-persistent technologies Get to grips with architectural-level design and implementation Explore the modern data journey and data modeling with database technology Master the operation of large-scale systems with zero-touch automation Achieve speed, resilience, security, and operability at different scales Design DevOps teams with end-to-end ownership models Who this book is for This book is for newcomers as well as seasoned SREs, DevOps engineers, and system engineers who are interested in large-scale systems with a heavy focus on data-persistent technologies. Database administrators looking to level up in the world of DevOps will also find this book helpful. Experience with cloud Infrastructure, basic development, and operations will help you get the most out of this book.
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  • 74
    ISBN: 9781003187158 , 1003187153 , 9781000878875 , 1000878872 , 9781000878899 , 1000878899
    Language: English
    Pages: 1 online resource , illustrations.
    Edition: First edition.
    Parallel Title: Erscheint auch als
    Keywords: Computer networks Security measures ; Machine learning Security measures ; Deep learning (Machine learning) Security measures ; Computer security Data processing ; Artificial intelligence ; Réseaux d'ordinateurs ; Sécurité ; Mesures ; Apprentissage automatique ; Sécurité ; Mesures ; Apprentissage profond ; Sécurité ; Mesures ; Sécurité informatique ; Informatique ; Intelligence artificielle ; artificial intelligence ; COMPUTERS / Artificial Intelligence ; COMPUTERS / Networking / Security ; COMPUTERS / Security / General ; Artificial intelligence ; Computer networks ; Security measures
    Abstract: "Today Artificial Intelligence (AI) and Machine/Deep Learning (ML/DL) have become the hottest areas in the information technology. In our society, there are so many intelligent devices that rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms/tools have used in many Internet applications and electronic devices, they are also vulnerable to various attacks and threats. The AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, and many other attacks/threats. Those attacks make the AI products dangerous to use. While the above discussion focuses on the security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models/algorithms can be used for cyber security (i.e., use AI to achieve security). Since the AI/ML/DL security is a new emergent field, many researchers and industry people cannot obtain detailed, comprehensive understanding of this area. This book aims to provide a complete picture on the challenges and solutions to the security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then many sets of promising solutions are described to achieve AI security and privacy in this book. The features of this book consist of 7 aspects: This is the first book to explain various practical attacks and countermeasures to AI systems; Both quantitative math models and practical security implementations are provided; It covers both "securing the AI system itself" and "use AI to achieve security"; It covers all the advanced AI attacks and threats with detailed attack models; It provides the multiple solution spaces to the security and privacy issues in AI tools; The differences among ML and DL security/privacy issues are explained. Many practical security applications are covered"--
    Note: Includes bibliographical references and index. - Description based on print version record
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  • 75
    ISBN: 9781484295533 , 1484295536
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 005.7565
    Keywords: Oracle (Computer file) ; Database management ; Bases de données ; Gestion
    Abstract: New to Oracle Global Data Services? Youve come to the right place. This book will show you how to leverage the power of Oracle GDS to ensure runtime load balancing, region affinity, replication lag tolerance-based workload routing, and inter-database service failover. In particular, you will see how to maximize the utilization of replication investments with Oracle GDS. The book starts by guiding you through the installation and configuration of GDS and provides details for each component in the GDS framework. Next, youll learn how to configure various components of Oracle GDS in standalone environments. Hands-on exercises that explore the advantages of GDS with different test cases utilizing Active Data Guard (ADG), Oracle GoldenGate (OGG), and Oracle Real Application Clusters (RAC) will help you put your learning in context. The book concludes with a demonstration of how to add Oracle GDS to OEM for monitoring and troubleshooting. Youll also see how to monitor Oracle GDS in a centralized location using Oracle Enterprise Manager Cloud Control. After completing this book, you will understand the architecture, components, and implementation strategies of GDS using ADG and OGG in mission-critical environments. You will: Understand Oracle Global Data Services architecture and its various components Install and configure Oracle Global Data Services Use Global Data Services with Active Data Guard and Oracle Golden Gate. Monitor Global Data Services using Oracle Enterprise Manager Cloud Control. Troubleshoot issues in Global Data Services.
    Note: Place of publication from publisher's website. - Description based on online resource; title from digital title page (viewed on October 06, 2023)
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  • 76
    ISBN: 9781484293379 , 1484293371
    Language: English
    Pages: 1 online resource (450 pages)
    Parallel Title: Erscheint auch als
    Keywords: Enterprise application integration (Computer systems) ; Database management ; Cloud computing ; Intégration d'applications d'entreprise (Systèmes informatiques) ; Bases de données ; Gestion ; Infonuagique ; Cloud computing ; Database management ; Enterprise application integration (Computer systems)
    Abstract: This book covers the basics of SAPs Integration Suite, including a broad overview of its capabilities, installation, and real-life examples to illustrate how it can be used to integrate, develop, administer, and monitor applications in the cloud. As you progress through the book, you will see how SAP Integration Suite works as an open, enterprise-grade platform that is a fully vendor-managed, multi-cloud offering that will help you expedite your SAP and third-party integration scenarios. The entire value chain is explored in detail, including usage of APIs and runtime control. Author Jaspreet Bagga demonstrates how SAPs prebuilt integration packages facilitate quicker, more comprehensive integrations, and how they support a variety of integration patterns. Youll learn how to leverage the platform to enable seamless cloud and on-premises applications connectivity, develop custom scenarios, mix master data, blend business-to-business (B2B) and electronic data interchange (EDI) processes, including trading partner management. Also covered are business-to-government (B2G) scenarios, orchestrating data and pipelines, and mixing event-driven integration. Upon completing this book, you will have a thorough understanding of why SAP Integration Suite is the middleware of SAPs integration strategy, and be able to effectively use it in your own integration scenarios. You will: Understand SAP Integration Suite and its core capabilities Know how integration technologies, such as architecture and supplementary intelligent technologies, work within the SAP Integration Suite Discover services for pre-packaged accelerators: SAP API Management, the Integration Advisor, and the SAP API Business Hub Utilize integration features to link your on-premises or cloud-based systems Understand the capabilities of the newly released Migration Assessment.
    Note: Includes index. - Print version record
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  • 77
    ISBN: 9783031416170
    Language: English
    Pages: 1 Online-Ressource (XVIII, 167 p. 32 illus., 21 illus. in color)
    Edition: 1st ed. 2023
    Series Statement: Lecture Notes in Computer Science 14153
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 303.4834
    RVK:
    Keywords: Computers and Society ; Computer Communication Networks ; Computer Application in Social and Behavioral Sciences ; Database Management ; Data Mining and Knowledge Discovery ; Computer and Information Systems Applications ; Computers and civilization ; Computer networks  ; Social sciences / Data processing ; Database management ; Data mining ; Application software ; Konferenzschrift 2023 ; Konferenzschrift 2023 ; Konferenzschrift 2023
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 78
    ISBN: 9783031416163
    Language: English
    Pages: xviii, 166 Seiten , Illustrationen
    Series Statement: Lecture notes in computer science 14153
    Series Statement: Lecture notes in computer science
    Parallel Title: Erscheint auch als
    DDC: 303.4834
    RVK:
    Keywords: Computers and Society ; Computer Communication Networks ; Computer Application in Social and Behavioral Sciences ; Database Management ; Data Mining and Knowledge Discovery ; Computer and Information Systems Applications ; Computers and civilization ; Computer networks  ; Social sciences / Data processing ; Database management ; Data mining ; Application software ; Konferenzschrift 2023
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  • 79
    Online Resource
    Online Resource
    Boca Raton, FL : CRC Press
    ISBN: 9781003225096 , 1003225098 , 9781000646221 , 100064622X , 9781000646344 , 1000646343
    Language: English
    Pages: 1 online resource (xxiii, 212 pages) , illustrations (some color)
    Edition: First edition.
    Parallel Title: Erscheint auch als
    Keywords: Computer networks Security measures ; Business information services Security measures ; Computer security ; Computer Security ; Réseaux d'ordinateurs ; Sécurité ; Mesures ; Affaires ; Services d'information ; Sécurité ; Mesures ; Sécurité informatique ; COMPUTERS / Cryptography ; COMPUTERS / Networking / Security ; COMPUTERS / Security / General ; Computer networks ; Security measures ; Computer security
    Abstract: "Today's organizations need a new security model that more effectively adapts to the complexity of the modern environment, embraces the mobile workforce, and protects people, devices, apps, and data wherever they're located. The zero trust idea has been gradually gaining momentum over the years, especially with the rise of SaaS and remote work. It has also become more practicable as technologies and tools built on its framework become mainstream. Zero Trust is rapidly becoming the security model of choice for many organizations; however, security leaders often struggle with the major shifts in strategy and architecture required to holistically implement Zero Trust. The book provides an end-to-end view of the Zero Trust approach across organizations' digital estates that includes Strategy, Business Imperatives, Architecture, Solutions, Human Elements, Implementation Approach etc that could significantly benefit large, small and medium enterprises who want to learn adapt and implement Zero Trust in their organization. The book's scope will be primarily benefited for the Business Decision Makars, Security leadership and organizational change agent who wants to adopt and implement "Zero Trust" Security approach and architecture across their digital estate. Any organizations that embrace the key players' security products also require better guidance for reference and implementation"--
    Note: Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on August 15, 2022)
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  • 80
    ISBN: 9781803244419 , 1803244410 , 9781803235035
    Language: English
    Pages: 1 online resource
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 005.74
    Keywords: React Native ; Database management
    Abstract: Make fact-based decisions by comparing different solutions and learning popular ways to manage state in React Native with clear guidelines and recommendations by a React Native expert Key Features Explore the big picture of state management in React Native using the most simplified version Implement state management solutions by building a social media clone app Compare different state solutions in a contained environment to choose the best fit for your future projects Book Description Managing state in a React Native app can be challenging as it is one of the most difficult concepts to grasp while learning React Native. This is because there are so many ways to do it, and because there is a lack of clear guidelines on what should be used and why. Simplifying State Management in React Native is a comprehensive introduction for those who are new to creating robust React Native apps that will have you up to speed in no time. You'll get to grips with the different state management strategies and libraries available. As you progress through the chapters, you'll try out different solutions, as well as compare and choose which solution is perfectly suited to your future projects and personal preferences. Finally, you'll create a social media clone app using all the concepts and examples that you've learned in this book. By the end of this book, you'll be able to take on existing projects that use various state management strategies and libraries, and confidently make decisions about state management. What you will learn Start out by going over the basic ReactJS "mindset" Explore all that ReactJS has to offer to manage state in apps by building an app Understand existing state management libraries such as Redux, MobX, XState, Jotai, and React Query Decide which libraries you want to use in your apps Design a social media app to fully understand state management Try out all the solutions presented in the book in a social media clone app Who this book is for This book is for junior developers, React Native developers, and mobile app developers who are already using React Native, but are also on the lookout for advice and for a broader view to manage the state and changes in their applications. Basic knowledge of ReactJS and React Native, as well as familiarity with JavaScript and general mobile app development concepts are needed to grasp the topics covered in this book.
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  • 81
    ISBN: 9781484292150 , 1484292154
    Language: English
    Pages: 1 online resource (649 pages) , illustrations
    Edition: 4th ed.
    Keywords: SQL server ; Database management ; SQL (Computer program language) ; Electronic books
    Abstract: Take a deep dive into perhaps the single most important facet of query performance--indexes--and how to best use them. Newly updated for SQL Server 2022 and Azure SQL, this fourth edition includes new guidance and features related to columnstore indexes, improved and consolidated content on Query Store, deeper content around Intelligent Query Processing, and other updates to help you optimize query execution and make performance improvements to even the most challenging workloads. The book begins with explanations of the types of indexes and how they are stored in a database. Moving further into the book, you will learn how statistics are critical for optimal index usage and how the Index Advisor can assist in reviewing and optimizing index health. This book helps you build a clear understanding of how indexes work, how to implement and use them, and the many options available to tame even the most large and complex workloads.
    Note: Includes index
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  • 82
    ISBN: 9781484291665 , 1484291662
    Language: English
    Pages: 1 online resource (576 pages) , illustrations (black and white).
    Parallel Title: Erscheint auch als
    Keywords: Oracle (Computer file) ; Database management ; SQL (Computer program language) ; PL/SQL (Computer program language) ; JSON (Document markup language) ; Electronic books
    Abstract: Level up your skill set to the latest that Oracle Database can offer. This book introduces features that are not well known that can transform your development efforts. Youll discover built-in functionality that can save you massive amounts of time that otherwise would be spent reinventing the wheel. Youll find that what used to take a lot of programming some years ago can be done with less code in a more reliable way today. Anyone using Oracle Database without the knowledge in this book is leaving valuable functionalitythat their company has paid foron the table, and this book opens the door to that functionality so that you can deliver reliable and performant solutions faster and more easily than ever. Part I looks at features in SQL and PL/SQL that are underused and not well known. Youll learn about new join types, pattern matching across rows, Top N pagination (useful in reporting!), qualified expressions, and enhancements to iterators that reduce code complexity and make your logic easier to understand. Part II covers how and when to invoke PL/SQL from SQL while maintaining performance. You'll learn about SQL macro functions for creating reusable SQL fragments, polymorphic table functions with return types determined by incoming argument types, and constructing and parsing JSON documents for data interchange with other systems. Part III introduces a vast array of built-in functionality that Oracle provides that is just waiting to be used. Edition-based redefinition enables zero-downtime application and schema upgrades. Data redaction enables easier compliance with privacy laws and similar regulations by protecting sensitive data from those who have no need to see it. Virtual private databases provide the appearance of giving each user their own database, again helping to secure sensitive data. These features are just a taste of what the book provides. Soon youll be improving your skills and wondering why you ever worked so hard to solve problems that Oracle Database already solves for you. What You Will Learn Write more powerful code by incorporating underused features in SQL and PL/SQL Optimize your integration between SQL and PL/SQL for best performance Take advantage of enhanced set operators, lateral joins, row-based pattern matching, and other advanced features in SQL Make your code easier to understand through your use of newer PL/SQL features, such as qualified expressions and iterator enhancements Integrate with web services and external data sources directly from the database Create and parse JSON documents for easy data exchange and flexible schema design.
    Note: Includes index. - Print version record
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  • 83
    ISBN: 9781803236018 , 1803236019
    Language: English
    Pages: 1 online resource (279 p.)
    Edition: 1st edition.
    DDC: 005.74
    Keywords: Microsoft Azure (Computing platform) ; Database management
    Abstract: Apply scenario-based learning to effectively handle the technical and business impact of various services like AKS, ACI, Azure Functions, and Azure Container Apps on Azure Purchase of the print or Kindle book includes a free PDF eBook Key Features Understand the what, why, and how of different container technologies available on Microsoft Azure Explore the practical implementation of various Azure container technologies with the help of use cases Learn common business strategies for selecting the right Azure container technology at optimized cost Book Description Whether you're working with a start-up or an enterprise, making decisions related to using different container technologies on Azure has a notable impact your app migration and modernization strategies. This is where companies face challenges, while choosing the right solutions and deciding when to move on to the next technology. Azure Containers Explained helps you make the right architectural choices for your solutions and get well-versed with the migration path to other platforms using practical examples. You'll begin with a recap of containers as technology and where you can store them within Azure. Next, you'll explore the different Microsoft Azure container technologies and understand how each platform, namely Azure Container Apps, Azure Kubernetes Service (AKS), Azure Container Instances (ACI), Azure Functions, and Azure App Services, work - you'll learn to implement them by grasping their respective characteristics and use cases. Finally, you'll build upon your own container solution on Azure using best practices from real-world examples and successfully transform your business from a start-up to a full-fledged enterprise. By the end of this book, you'll be able to effectively cater to your business and application needs by selecting and modernizing your apps using various Microsoft Azure container services. What you will learn Make the best-suited architectural choices to meet your business and application needs Understand the migration paths between different Azure Container services Deploy containerized applications on Azure to multiple technologies Know when to use Azure Container Apps versus Azure Kubernetes Service Find out how to add features to an AKS cluster Investigate the containers on Azure Web apps and Functions apps Discover ways to improve your current architecture without starting again Explore the financial implications of using Azure container services Who this book is for This book is for cloud and DevOps architects, application developers, technical leaders, decision makers, and IT professionals working with Microsoft Azure and cloud native technologies, especially containers. Reasonable knowledge of containers and a solid understanding of Microsoft Azure will help you grasp the concepts in this book.
    Note: Description based upon print version of record. - Deploying the right Microsoft Azure technologies
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  • 84
    ISBN: 9781801079181 , 1801079188 , 9781801076029
    Language: English
    Pages: 1 online resource
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 005.8
    Keywords: Computer networks Security measures ; Computer security ; Computer networks ; Security measures ; Computer security
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  • 85
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : APRESS
    ISBN: 9781484285695 , 1484285697
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 005.74
    Keywords: SAP HANA (Electronic resource) ; Database management ; Business enterprises Data processing ; Electronic books
    Abstract: This book introduces SAP HANA Cloud and helps you develop an understanding of its key features, including technology, architecture, and data modeling. SAP HANA Cloud in a Nutshell will help you develop the skills needed to use the core features of the completely managed and in-memory cloud-based data foundation available in the SAP Business Technology Platform. The book covers modern modeling concepts and equips you with practical knowledge to unleash the best use of SAP HANA Cloud. As you progress, you will learn how to provision your own SAP HANA Cloud instance, understand how to work with different roles, and work with data modeling for analytical and transactional use cases. Additionally, you will learn how to pilot SAP BTP Cockpit and work with entitlements, quotas, account structure, spaces, instances, and cloud providers. You will learn how to perform administration tasks such as stop and start an SAP HANA Cloud instance and make it available for use. To fully leverage the knowledge this book offers, you will find practical step-by-step instructions for how to establish a cloud account model and create your first SAP HANA Cloud artifacts. The book is an important prerequisite for those who want to take full advantage of SAP HANA Cloud. What You Will Learn Master the concepts and terminology of SAP Business Technology Platform (BTP) and SAP HANA Cloud Understand the key roles of an SAP HANA Cloud implementation Become familiar with the key tools used by administrators, architects, and application developers Upgrade an SAP HANA Cloud database Understand how to work with SAP HANA Cloud modeling supporting analytical and transactional use cases Who This Book Is For SAP consultants, cloud engineers, and architects; application consultants and developers; and project stakeholders.
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  • 86
    ISBN: 9781837633159 , 1837633150
    Language: English
    Pages: 1 online resource (1 audio file (9 hr., 39 min.))
    Edition: Second edition.
    Series Statement: Expert insight
    DDC: 005.8
    Keywords: Firewalls (Computer security) ; Computer networks Software Security measures ; Computer networks ; Security measures ; Firewalls (Computer security) ; Audiobooks ; Software ; Audiobooks
    Abstract: Deploy and manage industry-leading PAN-OS 10.x solutions to secure your users and infrastructure About This Audiobook Understand how to optimally use PAN-OS features Build firewall solutions to safeguard local, cloud, and mobile networks Protect your infrastructure and users by implementing robust threat prevention solutions In Detail Palo Alto Networks integrated platform makes it easy to manage network and cloud security along with endpoint protection and a wide range of security services. This audiobook is a guide to configure firewalls and deploy them in your network infrastructure. You will see how to quickly set up, configure and understand the technology, and troubleshoot any issues that may occur. This audiobook will serve as your go-to reference for everything from setting up to troubleshooting complex issues. You will learn your way around the web interface and command-line structure, understand how the technology works so you can confidently predict the expected behavior, and successfully troubleshoot any anomalies you may encounter. Finally, you will see how to deploy firewalls in a cloud environment, and special or unique considerations when setting them to protect resources. By the end of this audiobook, for your configuration setup you will instinctively know how to approach challenges, find the resources you need, and solve most issues efficiently. This is an abridged version. This condensed version aims to get you all the essential knowledge offered by our book - Mastering Palo Alto Networks in an easy-to-digest format Audience The audiobook is for network and security professionals, and administrators who want to bring in the power of Palo Alto Networks and firewalls to secure their networks. Engineers should have a good grasp of networking and routing protocols, basic knowledge of stateful or next-generation firewalls is helpful but not required.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 28, 2023)
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  • 87
    ISBN: 9781837630080 , 1837630089
    Language: English
    Pages: 1 online resource (270 p.)
    Edition: 1st edition.
    DDC: 005.75/85
    Keywords: SQL server ; Database management ; Client/server computing ; SQL (Computer program language) ; SQL server ; Client/server computing ; Database management ; SQL (Computer program language)
    Abstract: Enhance your SQL query writing skills to provide greater business value using advanced techniques such as common table expressions, window functions, and JSON Purchase of the print or Kindle book includes a free PDF eBook Key Features Examine query design and performance using query plans and indexes Solve business problems using advanced techniques such as common table expressions and window functions Use SQL in modern data platform solutions with JSON and Jupyter notebooks Book Description SQL has been the de facto standard when interacting with databases for decades and shows no signs of going away. Through the years, report developers or data wranglers have had to learn SQL on the fly to meet the business needs, so if you are someone who needs to write queries, SQL Query Design and Pattern Best Practices is for you. This book will guide you through making efficient SQL queries by reducing set sizes for effective results. You'll learn how to format your results to make them easier to consume at their destination. From there, the book will take you through solving complex business problems using more advanced techniques, such as common table expressions and window functions, and advance to uncovering issues resulting from security in the underlying dataset. Armed with this knowledge, you'll have a foundation for building queries and be ready to shift focus to using tools, such as query plans and indexes, to optimize those queries. The book will go over the modern data estate, which includes data lakes and JSON data, and wrap up with a brief on how to use Jupyter notebooks in your SQL journey. By the end of this SQL book, you'll be able to make efficient SQL queries that will improve your report writing and the overall SQL experience. What you will learn Build efficient queries by reducing the data being returned Manipulate your data and format it for easier consumption Form common table expressions and window functions to solve complex business issues Understand the impact of SQL security on your results Understand and use query plans to optimize your queries Understand the impact of indexes on your query performance and design Work with data lake data and JSON in SQL queries Organize your queries using Jupyter notebooks Who this book is for This book is for SQL developers, data analysts, report writers, data scientists, and other data gatherers looking to expand their skills for complex querying as well as for building more efficient and performant queries. For those new to SQL, this book can help you accelerate your learning and keep you from making common mistakes.
    Note: Description based upon print version of record. - Summary
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  • 88
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'REILLY MEDIA
    ISBN: 9781098130695 , 1098130693
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 005.7
    Keywords: Big data ; Database management ; Business enterprises Data processing ; Information technology Management
    Abstract: Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will: Design a streaming data mesh using Kafka Learn how to identify a domain Build your first data product using self-service tools Apply data governance to the data products you create Learn the differences between synchronous and asynchronous data services Implement self-services that support decentralized data.
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  • 89
    ISBN: 9781803241883 , 1803241888
    Language: English
    Pages: 1 online resource (578 p.)
    Edition: 1st edition.
    DDC: 005.74
    Keywords: Database management ; Cloud computing
    Abstract: Use easy-to-apply patterns in SQL and Python to adopt modern analytics engineering to build agile platforms with dbt that are well-tested and simple to extend and run Purchase of the print or Kindle book includes a free PDF eBook Key Features Build a solid dbt base and learn data modeling and the modern data stack to become an analytics engineer Build automated and reliable pipelines to deploy, test, run, and monitor ELTs with dbt Cloud Guided dbt + Snowflake project to build a pattern-based architecture that delivers reliable datasets Book Description dbt Cloud helps professional analytics engineers automate the application of powerful and proven patterns to transform data from ingestion to delivery, enabling real DataOps. This book begins by introducing you to dbt and its role in the data stack, along with how it uses simple SQL to build your data platform, helping you and your team work better together. You'll find out how to leverage data modeling, data quality, master data management, and more to build a simple-to-understand and future-proof solution. As you advance, you'll explore the modern data stack, understand how data-related careers are changing, and see how dbt enables this transition into the emerging role of an analytics engineer. The chapters help you build a sample project using the free version of dbt Cloud, Snowflake, and GitHub to create a professional DevOps setup with continuous integration, automated deployment, ELT run, scheduling, and monitoring, solving practical cases you encounter in your daily work. By the end of this dbt book, you'll be able to build an end-to-end pragmatic data platform by ingesting data exported from your source systems, coding the needed transformations, including master data and the desired business rules, and building well-formed dimensional models or wide tables that'll enable you to build reports with the BI tool of your choice. What you will learn Create a dbt Cloud account and understand the ELT workflow Combine Snowflake and dbt for building modern data engineering pipelines Use SQL to transform raw data into usable data, and test its accuracy Write dbt macros and use Jinja to apply software engineering principles Test data and transformations to ensure reliability and data quality Build a lightweight pragmatic data platform using proven patterns Write easy-to-maintain idempotent code using dbt materialization Who this book is for This book is for data engineers, analytics engineers, BI professionals, and data analysts who want to learn how to build simple, futureproof, and maintainable data platforms in an agile way. Project managers, data team managers, and decision makers looking to understand the importance of building a data platform and foster a culture of high-performing data teams will also find this book useful. Basic knowledge of SQL and data modeling will help you get the most out of the many layers of this book. The book also includes primers on many data-related subjects to help juniors get started.
    Note: Description based upon print version of record
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  • 90
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media, Inc.
    ISBN: 9781098152246 , 1098152247
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 005.75/6
    Keywords: SQL (Computer program language) ; Database management
    Abstract: If you were handed two different but related sets of data, what tools would you use to find the matches? What if all you had was SQL SELECT access to a database? In this practical book, author Jim Lehmer provides best practices, techniques, and tricks to help you import, clean, match, score, and think about heterogeneous data using SQL. DBAs, programmers, business analysts, and data scientists will learn how to identify and remove duplicates, parse strings, extract data from XML and JSON, generate SQL using SQL, regularize data and prepare datasets, and apply data quality and ETL approaches for finding the similarities and differences between various expressions of the same data. Full of real-world techniques, the examples in the book contain working code. You'll learn how to: Identity and remove duplicates in two different datasets using SQL Regularize data and achieve data quality using SQL Extract data from XML and JSON Generate SQL using SQL to increase your productivity Prepare datasets for import, merging, and better analysis using SQL Report results using SQL Apply data quality and ETL approaches to finding similarities and differences between various expressions of the same data.
    Note: Includes index
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  • 91
    ISBN: 9781492098683 , 149209868X
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 005.74
    Keywords: Metadata ; Database management ; Big data
    Abstract: Combing the web is simple, but how do you search for data at work? It's difficult and time-consuming, and can sometimes seem impossible. This book introduces a practical solution: the data catalog. Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance.
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  • 92
    ISBN: 9781801810715 , 1801810710
    Language: English
    Pages: 1 online resource (335 pages)
    DDC: 006.3/12
    Keywords: Database management ; Data mining ; Big data ; Business Data processing ; Electronic books
    Abstract: Explore how Delta brings reliability, performance, and governance to your data lake and all the AI and BI use cases built on top of it Key Features Learn Delta's core concepts and features as well as what makes it a perfect match for data engineering and analysis Solve business challenges of different industry verticals using a scenario-based approach Make optimal choices by understanding the various tradeoffs provided by Delta Book Description Delta helps you generate reliable insights at scale and simplifies architecture around data pipelines, allowing you to focus primarily on refining the use cases being worked on. This is especially important when you consider that existing architecture is frequently reused for new use cases. In this book, you'll learn about the principles of distributed computing, data modeling techniques, and big data design patterns and templates that help solve end-to-end data flow problems for common scenarios and are reusable across use cases and industry verticals. You'll also learn how to recover from errors and the best practices around handling structured, semi-structured, and unstructured data using Delta. After that, you'll get to grips with features such as ACID transactions on big data, disciplined schema evolution, time travel to help rewind a dataset to a different time or version, and unified batch and streaming capabilities that will help you build agile and robust data products. By the end of this Delta book, you'll be able to use Delta as the foundational block for creating analytics-ready data that fuels all AI/BI use cases. What you will learn Explore the key challenges of traditional data lakes Appreciate the unique features of Delta that come out of the box Address reliability, performance, and governance concerns using Delta Analyze the open data format for an extensible and pluggable architecture Handle multiple use cases to support BI, AI, streaming, and data discovery Discover how common data and machine learning design patterns are executed on Delta Build and deploy data and machine learning pipelines at scale using Delta Who this book is for Data engineers, data scientists, ML practitioners, BI analysts, or anyone in the data domain working with big data will be able to put their knowledge to work with this practical guide to executing pipelines and supporting diverse use cases using the Delta protocol. Basic knowledge of SQL, Python programming, and Spark is required to get the most out of this book.
    Note: Print version record
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  • 93
    ISBN: 9781484288146 , 1484288149
    Language: English
    Pages: 1 online resource (242 p.)
    Parallel Title: Erscheint auch als
    Keywords: Artificial intelligence Industrial applications ; Security measures ; Computer networks Security measures ; Computer networks ; Security measures ; Electronic books
    Abstract: In introducing the National Security Commission on AI's final report, Eric Schmidt, former Google CEO, and Robert Work, former Deputy Secretary of Defense, wrote: "The human talent deficit is the government's most conspicuous AI deficit and the single greatest inhibitor to buying, building, and fielding AI-enabled technologies for national security purposes." Drawing upon three decades of leading hundreds of advanced analytics and AI programs and projects in government and industry, Chris Whitlock and Frank Strickland address in this book the primary variable in the talent deficit, i.e., large numbers of qualified AI leaders. The book quickly moves from a case for action to leadership principles and practices for effectively integrating AI into programs and driving results in AI projects. The chapters convey 37 axioms - enduring truths for developing and deploying AI - and over 100 leader practices set among 50 cases and examples, 40 of which focus on AI in national security. Emphasizing its impact and practical nature, LTG (ret.) Ken Tovo, former commander of U.S. Army special forces, characterized the book as "the Ranger Handbook for AI implementation!" Whether you are a senior or mid-level leader who lacks hands-on experience with AI, or an AI practitioner who lacks leadership experience, this book will equip you to lead AI programs, projects, people, and technology. As the Honorable Robert Work wrote in the foreword: "This book is not the last word on leading AI in the national security enterprise, but I believe it is an essential starting point." You will: Review axioms or enduring truths at work in six dimensions of AI: program, budget, project, data science, people, and technology Apply best practices--such as decision frameworks, processes, checklists--for leading work in each of the six dimensions. See how the axioms and best practices are contextualized to national security missions.
    Note: Description based upon print version of record. - Activity #4: Model Development/Advanced Analytics
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  • 94
    Online Resource
    Online Resource
    [Birmingham] : Packt Publishing
    ISBN: 9781837637317 , 1837637318
    Language: English
    Pages: 1 online resource (1 sound file (5 hr., 9 min.))
    Edition: [First edition].
    DDC: 005.44769
    Keywords: Electronic data processing personnel Study guides Certification ; Salesforce (Online service) ; Database management ; Audiobooks
    Abstract: Learn data architecture essentials and prepare for the Salesforce Certified Data Architect exam with the help of tips and mock test questions About This Audiobook Leverage data modelling, Salesforce database design, and techniques for effective data design Learn master data management, Salesforce data management, and how to include considerations Get to grips with large data volumes, performance tuning, and poor performance mitigation techniques In Detail The Salesforce Data Architect is a prerequisite exam for the Application Architect half of the Salesforce Certified Technical Architect credential. This book offers complete, up-to-date coverage of the Salesforce Data Architect exam so you can take it with confidence. The book is written in a clear, succinct way with self-assessment and practice exam questions, covering all the topics necessary to help you pass the exam with ease. You'll understand the theory around Salesforce data modeling, database design, master data management (MDM), Salesforce data management (SDM), and data governance. Additionally, performance considerations associated with large data volumes will be covered. You'll also get to grips with data migration and understand the supporting theory needed to achieve Salesforce Data Architect certification. By the end of this Salesforce book, you'll have covered everything you need to know to pass the Salesforce Data Architect certification exam and have a handy, on-the-job desktop reference guide to re-visit the concepts. Audience This book is for both aspiring Salesforce data architects and those already familiar with Salesforce data architecture who want to pass the exam and have a reference guide to revisit the material as part of their day-to-day job. Working knowledge of the Salesforce platform is assumed, alongside a clear understanding of Salesforce architectural concepts.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 5, 2023)
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  • 95
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : PACKT PUBLISHING LIMITED
    ISBN: 9781803233246 , 1803233249 , 9781803241418
    Language: English
    Pages: 1 online resource
    Series Statement: Expert insight
    Parallel Title: Erscheint auch als
    DDC: 005.8
    Keywords: Firewalls (Computer security) ; Computer networks Software Security measures ; Computer networks ; Security measures ; Firewalls (Computer security) ; Electronic books ; Software
    Abstract: Deploy and manage industry-leading PAN-OS 10.x solutions to secure your users and infrastructure. Palo Alto Networks' integrated platform makes it easy to manage network and cloud security along with endpoint protection and a wide range of security services. This book is an end-to-end guide to configure firewalls and deploy them in your network infrastructure. You will see how to quickly set up, configure and understand the technology, and troubleshoot any issues that may occur. This book will serve as your go-to reference for everything from setting up to troubleshooting complex issues. You will learn your way around the web interface and command-line structure, understand how the technology works so you can confidently predict the expected behavior, and successfully troubleshoot any anomalies you may encounter. Finally, you will see how to deploy firewalls in a cloud environment, and special or unique considerations when setting them to protect resources. By the end of this book, for your configuration setup you will instinctively know how to approach challenges, find the resources you need, and solve most issues efficiently.
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  • 96
    ISBN: 9781484282304 , 1484282302
    Language: English
    Pages: 1 online resource (xxii, 330 pages) , illustrations
    Parallel Title: Erscheint auch als
    Keywords: Systems migration ; Database management ; Microsoft Azure (Computing platform) ; Electronic books
    Abstract: Migrate your existing, on-premises applications into the Microsoft Azure cloud platform. This book covers the best practices to plan, implement, and operationalize the migration of a database application from your organization's data center to Microsoft's Azure cloud platform. Data modernization and migration is a technologically complex endeavor that can also be taxing from a leadership and operational standpoint. This book covers not only the technology, but also the most important aspects of organization culture, communication, and politics that so frequently derail such projects. You will learn the most important steps to ensuring a successful migration and see battle-tested wisdom from industry veterans. From executive sponsorship, to executing the migration, to the important steps following migration, you will learn how to effectively conduct future migrations and ensure that your team and your database application delivers on the expected business value of the project. This book is unlike any other currently in the market. It takes you through the most critical business and technical considerations and workflows for moving your data and databases into the cloud, with special attention paid to those who are deploying to the Microsoft Data Platform in Azure, especially SQL Server. Although this book focuses on migrating on-premises SQL Server enterprises to hybrid or fully cloud-based Azure SQL Database and Azure SQL Managed Instances, it also cover topics involving migrating non-SQL Server database platforms such as Oracle, MySQL, and PostgreSQL applications to Microsoft Azure. What You Will Learn Plan a database migration that ensures smooth project progress, optimal performance, low operating cost, and minimal downtime Properly analyze and manage non-technical considerations, such as legal compliance, privacy, and team execution Perform a thorough architectural analysis to select the best Azure services, performance tiers, and cost-containment features Avoid pitfalls and common reasons for failure relating to corporate culture, intra-office politics, and poor communications Secure the proper executive champions who can execute the business planning needed for success Apply proven criteria to determine your future-state architecture and your migration method Execute your migration using a process proven by the authors over years of successful projects Who This Book Is For IT leadership, strategic IT decision makers, project owners and managers, and enterprise and application architects. For anyone looking toward cloud migration projects as the next stage of growth in their careers. Also useful for enterprise DBAs and consultants who might be involved in such projects. Readers should have experience and be competent in designing, coding, implementing, and supporting database applications in an on-premises environment.
    Note: Print version record
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  • 97
    Online Resource
    Online Resource
    Berkeley, CA : Apress L. P.
    ISBN: 9781484282243 , 1484282248
    Language: English
    Pages: 1 online resource (264 p.)
    Parallel Title: Erscheint auch als
    DDC: 005.74
    Keywords: SQL (Computer program language) ; Database management ; Distributed databases ; Cloud computing ; Application software Development ; Web applications ; Relational databases ; Electronic books ; Electronic books
    Abstract: Get a practical introduction to CockroachDB. This book starts with installation and foundational concepts and takes you through to creating clusters that are ready for production environments. You will learn how to create, optimize, and operate CockroarchDB clusters in single and multi-region environments. You will encounter anti-patterns to avoid, as well as testing techniques for integration and load testing. The book explains why CockroachDB exists, goes over its major benefits, and quickly transitions into installing and configuring CockroachDB. Just as quickly, you'll be creating databases, getting data into those databases, and querying that data from your applications. You'll progress to data privacy laws such as GDPR and CCPA, and learn how CockroachDB's global distribution features can help you comply with ever-shifting data sovereignty regulations. From there, you'll move into deployment topologies, guidance on integration testing and load testing, best practices, and a readiness checklist for production deployments. What You Will Learn Deploy and interact with CockroachDB Design and optimize databases and tables Choose the correct data types for modeling your data Protect data with database and table encryption Achieve compliance with international data privacy regulations Scale your databases in a way that enhances their performance Monitor changes to the data and health of your databases Who This Book Is For Developers and database administrators who want to provide a secure, reliable, and effortlessly distributed home for their data; those who wish to use a modern tool to tackle the kinds of scaling challenges that have previously required dedicated teams of people to solve; anyone who wants to leverage their database to solve non-trivial, real-world challenges while protecting their data and users.
    Note: Description based upon print version of record. - SELECT Performance
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  • 98
    Language: English
    Pages: 1 online resource (544 pages)
    Edition: Third edition.
    DDC: 005.8
    Keywords: Computer networks Security measures ; Computer networks ; Security measures ; Electronic books
    Abstract: The classic guide to cryptography and network security -- now fully updated! "Alice and Bob are back!" Widely regarded as the most comprehensive yet comprehensible guide to network security and cryptography, the previous editions of Network Security received critical acclaim for lucid and witty explanations of the inner workings of cryptography and network security protocols. In this edition, the authors have significantly updated and revised the previous content, and added new topics that have become important. This book explains sophisticated concepts in a friendly and intuitive manner. For protocol standards, it explains the various constraints and committee decisions that led to the current designs. For cryptographic algorithms, it explains the intuition behind the designs, as well as the types of attacks the algorithms are designed to avoid. It explains implementation techniques that can cause vulnerabilities even if the cryptography itself is sound. Homework problems deepen your understanding of concepts and technologies, and an updated glossary demystifies the field's jargon. Network Security, Third Edition will appeal to a wide range of professionals, from those who design and evaluate security systems to system administrators and programmers who want a better understanding of this important field. It can also be used as a textbook at the graduate or advanced undergraduate level. Coverage includes * Network security protocol and cryptography basics * Design considerations and techniques for secret key and hash algorithms (AES, DES, SHA-1, SHA-2, SHA-3) * First-generation public key algorithms (RSA, Diffie-Hellman, ECC) * How quantum computers work, and why they threaten the first-generation public key algorithms * Quantum computers: how they work, and why they threaten the first-generation public key algorithms * Multi-factor authentication of people * Real-time communication (SSL/TLS, SSH, IPsec) * New applications (electronic money, blockchains) * New cryptographic techniques (homomorphic encryption, secure multiparty computation).
    Note: Includes bibliographical references and index
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  • 99
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media, Inc.
    ISBN: 9781098138851 , 1098138856
    Language: English
    Pages: 1 online resource (50 pages) , illustrations
    Edition: Second edition.
    DDC: 005.74
    Keywords: Database management ; Database design ; Electronic data processing Management ; Information technology Management ; Electronic books
    Abstract: As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed.
    Note: Includes bibliographical references and index
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  • 100
    Language: English
    Pages: 1 online resource (35 pages) , illustrations
    Edition: [First edition].
    DDC: 005.75/85
    Keywords: SQL server ; Database management ; Relational databases ; Bases de données ; Gestion ; Bases de données relationnelles ; Electronic books
    Abstract: Globally available resources have become the status quo. They're accessible, distributed, and resilient. Our traditional SQL database options haven't kept up. Centralized SQL databases, even those with read replicas in the cloud, put all the transactional load on a central system. The further away that a transaction happens from the user, the more the user experience suffers. If the transactional data powering the application is greatly slowed down, fast-loading web pages mean nothing. In this report, Paul Modderman, Jim Walker, and Charles Custer explain how distributed SQL fits all applications and eliminates complex challenges like sharding from traditional RDBMS systems. You'll learn how distributed SQL databases can reach global scale without introducing the consistency trade-offs found in NoSQL solutions. These databases come to life through cloud computing, while legacy databases simply can't rise to meet the elastic and ubiquitous new paradigm. You'll learn: Key concepts driving this new technology, including the CAP theorem, the Raft consensus algorithm, multiversion concurrency control, and Google Spanner How distributed SQL databases meet enterprise requirements, including management, security, integration, and Everything as a Service (XaaS) The impact that distributed SQL has already made in the telecom, retail, and gaming industries Why serverless computing is an ideal fit for distributed SQL How distributed SQL can help you expand your company's strategic plan.
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