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  • Sebastopol, CA : O'Reilly Media  (1,060)
  • Hoboken, N.J. : J. Wiley & Sons  (578)
  • Electronic books ; local  (1,638)
  • Information technology ; Management  (98)
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  • 1
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Cloud computing ; Computer architecture ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Why are so many companies embracing cloud native development? Getting new features into the hands of demanding customers requires a faster and more efficient approach than traditional development methods. The most successful organizations today use cloud native to develop innovative software products and services with speed and scalability not possible with the static waterfall development method. In this ebook, Bill Laberis explores cloud native by defining various interrelated elements of this approach. By learning terms such as DevOps, microservices, and continuous delivery, you'll understand why cloud native is much more about how applications are built and deployed than where. This ebook includes case studies of how the Financial Times, Volkswagen, ASOS, and DISH adopted cloud native. You'll examine cloud native practices and components such as: DevOps: Practices for removing barriers between development and operations Continuous delivery, continuous upgrades, and automated scalability: Practices vital to DevOps success Containers, including Docker: A method for bundling software and its dependencies into one package Kubernetes: A tool for deploying, scaling, and managing containerized applications Orchestration: Automated configuration, coordination, and management of cloud systems, resources, and software Microservices: Architecture for building applications as a collection of services or protocols
    Note: Description based on online resource; title from title page (Safari, viewed May 21, 2019)
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  • 2
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Electronic data processing ; Information technology ; Management ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Cloud platforms are changing big data processing for the better, but there's one significant challenge: the problem of managing costs. Organizations used to on-premises solutions are often surprised by expense overruns for various tasks in the cloud, due to the ever-increasing amounts of structured, semi-structured, and unstructured data they collect and use. With this comprehensive guide, IT leaders, data architects, data engineers, and data analysts will examine several factors that affect cloud-based data processing costs. You'll also come away with a collection of financial governance best practices. Through the course of this ebook, you'll explore three areas essential to any successful governance plan: cost controls, traceability, and predictability. Authors Amit Duvedi, Balaji Mohanam, Andy Still, and Andrew Ash cover the processes, tools, and systems that will enable you to perform effective financial governance of your data processing platform. Learn how cloud-based financial governance differs from on-premises solutions Examine the way your company currently uses a cloud data platform Explore available cloud provider tools, third-party cloud management tools, and the new breed of analytic data platforms Dive into the stages of the financial governance lifecycle-to understand, control, and then optimize activity in your cloud platform Control your cloud costs while still meeting rising business demand and SLAs
    Note: Description based on online resource; title from title page (Safari, viewed June 17, 2019)
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  • 3
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Teams in the workplace ; Teams in the workplace ; Training of ; Electronic books ; Electronic books ; local
    Abstract: Collaboration is key for organizations in the 21st century, yet few business people have been trained to teach this skill. How do you advance ideas in a collaborative way and then communicate them throughout your company? In this practical book, author Gretchen Anderson shows you how to generate ideas with others while gaining buy-in from all levels of your organization. Product managers, designers, marketers, technical leaders, and executives will obtain better insight into how team members work together to make decisions. Through tangible exercises and techniques, you'll learn how to turn promising ideas into products, services, and solutions that make a real difference in the market. Use a framework to develop ideas into hypotheses to be tested and refined Avoid common pitfalls in the collaboration process Align communication approaches to ensure that collaboration is effective and inclusive Structure events or meetings for different types of collaboration depending on the people involved Practice giving and receiving critiques to foster inclusion without resorting to consensus-based decisions
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed June 10, 2019)
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  • 4
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Electronic data processing ; Distributed processing ; Application software ; Development ; Information technology ; Management ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: Kubernetes is the operating system of the cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts John Arundel and Justin Domingus show you what Kubernetes can do-and what you can do with it. You'll learn all about the Kubernetes ecosystem, and use battle-tested solutions to everyday problems. You'll build, step by step, an example cloud native application and its supporting infrastructure, along with a development environment and continuous deployment pipeline that you can use for your own applications. Understand containers and Kubernetes from first principles; no experience necessary Run your own clusters or choose a managed Kubernetes service from Amazon, Google, and others Use Kubernetes to manage resource usage and the container lifecycle Optimize clusters for cost, performance, resilience, capacity, and scalability Learn the best tools for developing, testing, and deploying your applications Apply the latest industry practices for security, observability, and monitoring Adopt DevOps principles to help make your development teams lean, fast, and effective
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed March 18, 2019)
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  • 5
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Information technology ; Management ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: As enterprise-scale data science sharpens its focus on data-driven decision making and machine learning, new tools have emerged to help facilitate these processes. This practical ebook shows data scientists and enterprise developers how the notebook interface, Apache Spark, and other collaboration tools are particularly well suited to bridge the communication gap between their teams. Through a series of real-world examples, author Jerome Nilmeier demonstrates how to generate a model that enables data scientists and developers to share ideas and project code. You'll learn how data scientists can approach real-world business problems with Spark and how developers can then implement the solution in a production environment. Dive deep into data science technologies, including Spark, TensorFlow, and the Jupyter Notebook Learn how Spark and Python notebooks enable data scientists and developers to work together Explore how the notebook environment works with Spark SQL for structured data Use notebooks and Spark as a launchpad to pursue supervised, unsupervised, and deep learning data models Learn additional Spark functionality, including graph analysis and streaming Explore the use of analytics in the production environment, particularly when creating data pipelines and deploying code
    Note: Description based on online resource; title from title page (Safari, viewed April 29, 2019)
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  • 6
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Empathy ; Work ; Psychological aspects ; Psychology, Industrial ; Interpersonal communication ; Interpersonal relations ; Electronic books ; Electronic books ; local
    Abstract: Empathy is an essential tool for building solid relationships, connecting with those you disagree with, and creating an environment where everyone feels valued. Empathy is also incredibly difficult to quantify. How do you show empathy? Which actions promote empathy, and which destroy it? This practical ebook details how companies can create systems and services around empathy to help managers and their employees have a better experience at work. Author Sharon Steed examines the most impactful empathy actions and shows you how to facilitate conversations around incorporating these practices among your teams. You'll explore different types of empathy and learn how to apply empathetic communication. Along the way, you'll discover new tools to help you be a better empath in difficult situations. This ebook explores: Three types of empathy that play an important role in how you interact with others Key characteristics of empathetic communication: active listening and intentional speaking Why nonverbal communication outweighs verbal communication The behaviors of collaborative teams that value empathy How to overcome barriers at work that make empathy difficult Three steps to help you put empathy into operation
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 16, 2019)
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  • 7
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: JavaScript (Computer program language) ; Interactive computer graphics ; Computer graphics ; Computer programs ; Electronic books ; Electronic books ; local
    Abstract: If you're in a hurry to learn D3.js, the leading JavaScript library for web-based graphics and visualization, this book is for you. Written for technically savvy readers with a background in programming or data science, the book moves quickly, emphasizing unifying concepts and patterns. Anticipating common difficulties, author Philipp K. Janert teaches you how to apply D3 to your own problems. Assuming only a general programming background, but no previous experience with contemporary web development, this book explains supporting technologies such as SVG, HTML5, CSS, and the DOM as needed, making it a convenient one-stop resource for a technical audience. Understand D3 selections, the library's fundamental organizing principle Learn how to create data-driven documents with data binding Create animated graphs and interactive user interfaces Draw figures with curves, shapes, and colors Use the built-in facilities for heatmaps, tree graphs, and networks Simplify your work by writing your own reusable components
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 8
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Life sciences ; Data processing ; Machine learning ; Artificial intelligence ; Electronic books ; local ; Electronic books
    Abstract: Deep learning has already achieved remarkable results in many fields. Now it's making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You'll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine-an example that represents one of science's greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it's working
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 24, 2019)
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  • 9
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Commercial crimes ; Investigation ; Computer crimes ; Investigation ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: As new digital channels emerge for monetary transactions, financial crime continues to soar. The good news is that recently developed AI-based crime-fighting systems are already having a positive impact. In this report, Atif Kureishy (Teradata Consulting) and Chad Meley (Teradata) examine online criminal activity and describe the benefits and challenges of deploying AI models for fighting digital crime. Roughly two-thirds of all businesses around the globe experienced financial criminal activity in 2017-up 58% from the year before. Legacy practices and traditional rules engines simply can't keep up. This report delves into research on the current state of AI adoption worldwide and discusses the advantages of AI models as well as the difficulties of putting them into practice. With this report, you'll explore: Different types of financial crime, including sophisticated fraud schemes, cybercrime, and money laundering The fallout that successful criminal schemes have on financial services firms Challenges to staying ahead of financial crime, such as regulatory complexity, real-time transactions, and pressure to innovate The state of today's anticrime measures in financial institutions and the benefits of AI-based models Challenges that crop up when deploying AI models for fighting financial crime
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed June 14, 2019)
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  • 10
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application program interfaces (Computer software) ; Application software ; Development ; Cloud computing ; Software patterns ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: The way developers design, build, and run software has changed significantly with the evolution of microservices and containers. These modern architectures use new primitives that require a different set of practices than most developers, tech leads, and architects are accustomed to. With this focused guide, Bilgin Ibryam and Roland Huß from Red Hat provide common reusable elements, patterns, principles, and practices for designing and implementing cloud-native applications on Kubernetes. Each pattern includes a description of the problem and a proposed solution with Kubernetes specifics. Many patterns are also backed by concrete code examples. This book is ideal for developers already familiar with basic Kubernetes concepts who want to learn common cloud-native patterns. You'll learn about the following pattern categories: Foundational patterns cover the core principles and practices for building container-based cloud-native applications. Behavioral patterns explore finer-grained concepts for managing various types of container and platform interactions. Structural patterns help you organize containers within a pod, the atom of the Kubernetes platform. Configuration patterns provide insight into how application configurations can be handled in Kubernetes. Advanced patterns cover more advanced topics such as extending the platform with operators.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 16, 2019)
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  • 11
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Python (Computer program language) ; Database management ; Data structures (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: To really learn data science, you should not only master the tools-data science libraries, frameworks, modules, and toolkits-but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today's messy glut of data. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability-and how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
    Note: Previous edition published: 2015. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 24, 2019)
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  • 12
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: The great cloud migration is picking up steam. Companies moving all or part of their IT workloads to the public cloud for backup, email hosting, productivity apps or all of the above will generate $44 billion in costs during 2018 alone. So, the question is not if but how enterprises plan to make the move. This ebook provides a practical seven-step migration plan to prepare your company for the journey. Author Steve Francis provides a prescriptive look at the best practices needed to ensure a successful transition. You'll also learn from several IT and business leaders about their recent cloud migration experiences, including pitfalls to avoid. This seven-step plan focuses on three major benefits of the cloud: operational agility, strategic focus, and cost savings: Identify desired outcomes before you get into migration specifics Classify candidates for the cloud, including applications or workloads best suited for the move Define deployment model criteria-IaaS, PaaS, SaaS, or a private cloud Devise an iterative, agile process for transformation among your teams Get buy-in to the plan from people at the top and in the trenches Start simply with a project that's relatively risk-free-one you're likely to learn from the most Rinse and repeat by applying lessons learned to the next workload or application
    Note: Description based on online resource; title from title page (Safari, viewed November 8, 2018)
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  • 13
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Python (Computer program language) ; Finance ; Computer programs ; Finance ; Statistical methods ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
    Note: Previous edition published: 2014. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed June 12, 2019)
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  • 14
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Electronic data processing ; Distributed processing ; Data mining ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You'll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs. Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API. Learn fundamental stream processing concepts and examine different streaming architectures Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail Create and operate streaming jobs and applications with Spark Streaming ; integrate Spark Streaming with other Spark APIs Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed June 11, 2019)
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  • 15
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Apache Flink ; Streaming technology (Telecommunications) ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Get started with Apache Flink, the open source framework that powers some of the world's largest stream processing applications. With this practical book, you'll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing. Longtime Apache Flink committers Fabian Hueske and Vasia Kalavri show you how to implement scalable streaming applications with Flink's DataStream API and continuously run and maintain these applications in operational environments. Stream processing is ideal for many use cases, including low-latency ETL, streaming analytics, and real-time dashboards as well as fraud detection, anomaly detection, and alerting. You can process continuous data of any kind, including user interactions, financial transactions, and IoT data, as soon as you generate them. Learn concepts and challenges of distributed stateful stream processing Explore Flink's system architecture, including its event-time processing mode and fault-tolerance model Understand the fundamentals and building blocks of the DataStream API, including its time-based and statefuloperators Read data from and write data to external systems with exactly-once consistency Deploy and configure Flink clusters Operate continuously running streaming applications
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 24, 2019)
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  • 16
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Organizational change ; Organizational effectiveness ; Agile software development ; Electronic books ; Electronic books ; local
    Abstract: The Agile movement provides real, actionable answers to the question that keeps many company leaders awake at night: How do we stay successful in a fast-changing and unpredictable world? Agile has already transformed how modern companies build and deliver software. This practical book demonstrates how entire organizations-from product managers and engineers to marketers and executives-can put Agile to work. Author Matt LeMay explains Agile in clear, jargon-free terms and provides concrete and actionable steps to help any team put its values and principles into practice. Examples from a wide variety of organizations, including small nonprofits and global financial enterprises, bring to life the on-the-ground realities of Agile across industries and functions. Understand exactly what Agile is and why it matters Use Agile to address your organization's specific needs and goals Take customer centricity from theory into practice Stop wasting time in "report and critique" meetings and start making better decisions Create a harmonious cycle of learning, collaborating, and delivering Learn from Agile experts at companies like IBM, Spotify, and Coca-Cola
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed November 7, 2018)
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  • 17
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Regular expressions (Computer science) ; Text processing (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: The ubiquity of regular expressions must mean they offer universal utility, and, surprisingly, they do not have a steep learning curve. If you frequently find yourself manually scanning documents or parsing substrings just to identify text patterns, you might want to give them a look. Especially in data science and data engineering, they can assist in a wide spectrum of tasks, from wrangling data to qualifying and categorizing it. This report covers enough regular expression features to make them useful for a great majority of tasks you may encounter.
    Note: "Report.". - Description based on online resource; title from cover (viewed June 4, 2019)
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  • 18
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Microsoft Windows (Computer file) ; Handbooks, manuals, etc ; Electronic books ; Electronic books ; local
    Abstract: The Windows 10 May 2019 Update adds a host of new and improved features to Microsoft's flagship operating system-and this jargon-free guide helps you get the most out of every component. This in-depth Missing Manual covers the entire system and introduces you to the latest features in the Windows Professional, Enterprise, Education, and Home editions. You'll learn how to take advantage of improvements to the Game Bar, Edge browser, Windows Online, smartphone features, and a lot more. Written by David Pogue-tech critic for Yahoo Finance and former columnist for The New York Times -this updated edition illuminates its subject with technical insight, plenty of wit, and hardnosed objectivity.
    Note: "The book that should have been in the box.". - Includes index. - Description based on online resource; title from title page (viewed June 3, 2019)
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  • 19
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Graph algorithms ; Electronic books ; Electronic books ; local
    Abstract: Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide,developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from finding vulnerabilities and bottlenecksto detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in today's data Understand how popular graph algorithms work and how they're applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed May 31, 2019)
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  • 20
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Information visualization ; Visual analytics ; Visualization ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book's visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 15, 2019)
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  • 21
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Why are so many companies moving to the cloud? In a word, agility. Businesses need to act quickly to stay ahead of today's global competition. The cloud provides all the services you need on demand -everything from data storage and applications to networking and greater processing power-so your business can catch, match, or outpace your competitors. With this short ebook, you'll learn how the cloud enables you to pivot quickly when market conditions change. Author Bill Laberis explains how the cloud follows in the footsteps of previous computing paradigms such as mainframes and client-server models. You'll explore various cloud options and examine case studies that reveal how Airbnb, Heineken, American Airlines, Colgate-Palmolive, and Schneider Electric leverage cloud services from Amazon, IBM, and Google. Delve into the business case for using cloud services Understand the differences between the private, public, and hybrid cloud Examine the cloud's payment model that lets you pay for services on an as-needed basis Explore cloud options such as SaaS, PaaS, IaaS, and serverless computing Learn about the security concerns of the public and private cloud
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 2, 2019)
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  • 22
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Web applications ; Security measures ; Data protection ; Malware (Computer software) ; Electronic books ; Electronic books ; local
    Abstract: Despite deploying the latest security technologies, organizations still struggle to defend cloud-based web applications against sophisticated cyberattacks. Many companies have turned to the popular defense-in-depth (DiD) technique, but this multilayered approach has its shortcomings. So where is the industry headed next? This insightful ebook demonstrates a new approach to DiD that enables current security tools to operate in concert rather than independently. Stephen Gates, edge security evangelist and SME at Oracle Dyn, shows you how companies can establish integrated lines of defense similar to the way in which modern militaries operate on the battlefield. By the end of this book, CSOs, CISOs, security managers, and other professionals will understand how to implement the recommendations in this book today using the security technologies they already have in place. With this ebook, you'll examine: Why today's security technologies alone aren't enough to protect web applications How the existing approach to DiD for cybersecurity falls short of its goals An example of how the modern military uses integrated lines of defense that work in concert Eight lines of defense-including edge routers, DDoS defenses, and WAFs-that are best for protecting cloud-based web applications Ways to use automation and supervised machine learning to integrate your security approaches
    Note: Description based on online resource; title from title page (viewed May 16, 2019)
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  • 23
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Parallel Title: Erscheint auch als Lauwens, Ben Think Julia
    DDC: 005.73
    RVK:
    Keywords: Julia (Computer program language) ; Dynamic programming ; Electronic books ; Electronic books ; local ; Julia
    Abstract: If you're just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you'll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand types, methods, and multiple dispatch Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design and data structures through case studies
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 15, 2019)
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  • 24
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer security ; Computer networks ; Security measures ; Computer crimes ; Economic aspects ; Electronic books ; Electronic books ; local
    Abstract: If you hope to outmaneuver threat actors, speed and efficiency need to be key components of your cybersecurity operations. Mastery of the standard command line interface (CLI) is an invaluable skill in times of crisis because no other software application can match the CLI's availability, flexibility, and agility. This practical guide shows you how to use the CLI with the bash shell to perform tasks such as data collection and analysis, intrusion detection, reverse engineering, and administration. Authors Paul Troncone, founder of Digadel Corporation, and Carl Albing, coauthor of bash Cookbook (O'Reilly), provide insight into command line tools and techniques to help defensive operators collect data, analyze logs, and monitor networks. Penetration testers will learn how to leverage the enormous amount of functionality built into every version of Linux to enable offensive operations. With this book, security practitioners, administrators, and students will learn how to: Collect and analyze data, including system logs Search for and through files Detect network and host changes Develop a remote access toolkit Format output for reporting Develop scripts to automate tasks
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed April 10, 2019)
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  • 25
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Product design ; Creative thinking ; User-centered system design ; Customer relations ; Electronic books ; Electronic books ; local
    Abstract: User experience doesn't happen on a screen; it happens in the mind, and the experience is multidimensional and multisensory. This practical book will help you uncover critical insights about how your customers think so you can create products or services with an exceptional experience. Corporate leaders, marketers, product owners, and designers will learn how cognitive processes from different brain regions form what we perceive as a singular experience. Author John Whalen shows you how anyone on your team can conduct "contextual interviews" to unlock insights. You'll then learn how to apply that knowledge to design brilliant experiences for your customers. Learn about the "six minds" of user experience and how each contributes to the perception of a singular experience Find out how your team-without any specialized training in psychology-can uncover critical insights about your customers' conscious and unconscious processes Learn how to immediately apply what you've learned to improve your products and services Explore practical examples of how the Fortune 100 used this system to build highly successful experiences
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 15, 2019)
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  • 26
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: First edition.
    Series Statement: Head first
    Keywords: Go (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: What will you learn from this book? Go makes it easy to build software that's simple, reliable, and efficient. Andthis book makes it easy for programmers like you to get started. Googledesigned Go for high-performance networking and multiprocessing, but-like Python and JavaScript-the language is easy to read and use. With thispractical hands-on guide, you'll learn how to write Go code using clearexamples that demonstrate the language in action. Best of all, you'll understandthe conventions and techniques that employers want entry-level Godevelopers to know. Why does this book look so different? Based on the latest research in cognitive science and learning theory, HeadFirst Go uses a visually rich format to engage your mind rather than a textheavyapproach that puts you to sleep. Why waste your time struggling withnew concepts? This multisensory learning experience is designed for theway your brain really works.
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed April 15, 2019)
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  • 27
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Database design ; Database management ; Teams in the workplace ; Job descriptions ; Electronic books ; Electronic books ; local
    Abstract: Data engineers and data scientists are not interchangeable-and misperceptions of their roles can hurt teams and compromise productivity. This article clears up the differences of each role and how to best optimize these roles.
    Note: "Report.". - Description based on online resource; title from cover (viewed June 3, 2019)
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  • 28
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: Database management ; Electronic data processing ; Management ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Every decade since the 1960s, researchers at companies like IBM, Amazon, and many others have introduced major new frameworks and techniques to handle rising data management problems. This concise ebook explains how these new systems helped data science evolve quickly-from hierarchical and relational databases to big data and cloud computing to streaming and graph data. Computer scientist Paco Nathan shows members of your data science team how major companies created each of these data management systems not just to deal with new data types but also to take full advantage of the opportunities the data presented. Their efforts over the years have propelled an entire industry. This report covers the historical progression of data management topics including: Hierarchical databases -1960s mainframe batch systems are still used in finance, healthcare, manufacturing, energy, and other industries. Relational databases -these enabled faster transactions, mathematical optimization, and budgeting guarantees for many businesses. Big data -this includes relatively cheap horizontal scale-out systems for collecting huge amounts of customer data. Cloud computing -large companies began managing reliable, scalable, cost-effective data centers; Amazon turned the concept into a business. Cluster schedulers -managing horizontal clusters was difficult before schedulers such as Apache Mesos appeared. Streaming data -data continuously generated by different sources requires responses in "real time"-generally milliseconds.
    Note: Description based on online resource; title from title page (Safari, viewed May 31, 2019)
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  • 29
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: 2nd edition.
    Keywords: R (Computer program language) ; Statistics ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: This O'Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly-without having to comb through all the details of R's graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. Most of the recipes in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You'll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you're ready to get started with this easy-to-use reference. Use R's default graphics for quick exploration of data Create a variety of bar graphs, line graphs, and scatter plots Summarize data distributions with histograms, density curves, box plots, and more Provide annotations to help viewers interpret data Control the overall appearance of graphics Explore options for using colors in plots Create network graphs, heat maps, and 3D scatter plots Get your data into shape using packages from the tidyverse
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed May 31, 2019)
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  • 30
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: TypeScript (Computer program language) ; JavaScript (Computer program language) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Any programmer working with a dynamically typed language will tell you how hard it is to scale to more lines of code and more engineers. That's why Facebook, Google, and Microsoft invented gradual static type layers for their dynamically typed JavaScript and Python code. This practical book shows you how one such type layer, TypeScript, is unique among them: it makes programming fun with its powerful static type system. If you're a programmer with intermediate JavaScript experience, author Boris Cherny will teach you how to master the TypeScript language. You'll understand how TypeScript can help you eliminate bugs in your code and enable you to scale your code across more engineers than you could before. In this book, you'll: Start with the basics: Learn about TypeScript's different types and type operators, including what they're for and how they're used Explore advanced topics: Understand TypeScript's sophisticated type system, including how to safely handle errors and build asynchronous programs Dive in hands-on: Use TypeScript with your favorite frontend and backend frameworks, migrate your existing JavaScript project to TypeScript, and run your TypeScript application in production
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 31
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Information technology ; Management ; Electronic data processing ; Distributed processing ; Business enterprises ; Computer networks ; Management ; Electronic books ; Electronic books ; local
    Abstract: Chaos engineering is a highly collaborative activity. When applied well, virtually everyone is responsible for exploring, surfacing, overcoming, and validating weaknesses in their systems. That can lead to a lot of chaos engineering activity across a collection of systems at any moment in time. How can you keep chaos engineering from becoming, well, too chaotic? One key technique is chaos observability. In this ebook, Russ Miles of ChaosIQ demonstrates how to bring your chaos experiments into the world of system observability. Chaos observability enables you to surface, debug, and even visualize chaos experiment activities across your system in real time and through time series recordings. You'll learn how chaos observability helps everyone in production be aware of chaos activities occurring within and across systems. Understand why it's imperative to make chaos engineering observable Learn how to bring chaos experiments and engineering into the overall system observability picture Make chaos observability actionable and difficult to ignore through alerts and Slack integration
    Note: Description based on online resource; title from title page (Safari, viewed May 21, 2019)
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  • 32
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer software ; Development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Whether you want to fine-tune operational control or conduct A/B/n tests, feature flags make it easy to deliver software features quickly and safely. With this practical book, software engineers will learn eight best practices for using feature flags in production, including how to configure and manage a growing set of feature flags within your product, maintain them over time, manage infrastructure migrations, and more. Pete Hodgson and Patricio Echagüe demonstrate how feature flags help modern product delivery teams reduce risk by decoupling code deployment from feature release. You'll learn how to maintain flag consistency in different scenarios and how to develop, test, and work with feature flags at scale. With these practices, you will: Make sure users in a test still have access once a feature is ramped up Learn flag strategies for transitioning users from "anonymous" to "logged in" Keep flagging decisions on the server to maintain performance and security Use patterns to make incremental, backward-compatible database changes Implement flagging decisions as close to business logic as possible Have each flag owned by one team responsible for rollout and monitoring Consider testability when using feature flags in combination with CI practices Maintain a process for identifying and tracking flags Examine the effect a feature flag is having on your business
    Note: Description based on online resource; title from title page (Safari, viewed April 10, 2019)
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  • 33
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: User-centered system design ; User interfaces (Computer systems) ; Design ; Business writing ; Electronic books ; Electronic books ; local
    Abstract: When you depend on users to perform specific actions-like buying tickets, playing a game, or riding public transit-well-placed words are most effective. But how do you choose the right words? And how do you know if they work? With this practical book, you'll learn how to write strategically for UX, using tools to build foundational pieces for UI text and UX voice strategy. UX content strategist Torrey Podmajersky provides strategies for converting, engaging, supporting, and re-attracting users. You'll use frameworks and patterns for content, methods to measure the content's effectiveness, and processes to create the collaboration necessary for success. You'll also structure your voice throughout so that the brand is easily recognizable to its audience. Learn how UX content works with the software development lifecycle Use a framework to align the UX content with product principles Explore content-first design to root UX text in conversation Learn how UX text patterns work with different voices Produce text that's purposeful, concise, conversational, and clear
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed June 14, 2019)
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  • 34
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application software ; Development ; Computer networks ; Management ; Computer software ; Development ; Electronic books ; Electronic books ; local
    Abstract: While Kubernetes is a great platform for running and managing containers, the job of building, deploying, and managing serverless applications is best suited for Knative. This practical ebook shows developers and operators new to Knative how to use this open source project in conjunction with Kubernetes. You'll learn how to create and run code with Knative and how to integrate this platform into your production environment. Throughout this ebook, Bryan Friedman and Brian McClain from Pivotal explore serverless architecture patterns using examples of self-service use cases. Whether you're planning to use Kubernetes or have begun to run it in production, this ebook will help you understand how Knative and each of its components will work in your system. Code samples are available on GitHub, and prebuilt container images are available on Docker Hub. Dive into Knative's three key components: serving, building, and eventing Deploy and serve applications and functions with the Knative Serving module Compile and package code as containers with Knative Build Create a rich, robust event-driven architecture with Knative Eventing Explore advanced topics such as creating your own event source and using build templates Put everything together to build a sample service for visualizing earthquake activity
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 21, 2019)
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  • 35
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Security measures ; Computer networks ; Security measures ; Computer networks ; Access control ; Electronic books ; Electronic books ; local
    Abstract: With their rapidly changing architecture and API-driven automation, cloud platforms come with unique security challenges and opportunities. This hands-on book guides you through security best practices for multivendor cloud environments, whether your company plans to move legacy on-premises projects to the cloud or build a new infrastructure from the ground up. Developers, IT architects, and security professionals will learn cloud-specific techniques for securing popular cloud platforms such as Amazon Web Services, Microsoft Azure, and IBM Cloud. Chris Dotson-an IBM senior technical staff member-shows you how to establish data asset management, identity and access management, vulnerability management, network security, and incident response in your cloud environment.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
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  • 36
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Technological innovations ; Psychological aspects ; Technological innovations ; Social aspects ; Emotional intelligence ; Design and technology ; Product design ; Technological innovations ; Electronic books ; Electronic books ; local
    Abstract: As technology becomes deeply integrated into every aspect of our lives, we've begun to expect more emotionally intelligent interactions. But smartphones don't know if we're having a bad day, and cars couldn't care less about compassion. Technology is developing more IQ, but it still lacks EQ. In this book, Pamela Pavliscak-design researcher and advisor to Fortune 500 companies-explores new research about emotion, new technology that engages emotion, and new emotional design practices. Drawing on her own research and the latest thinking in psychology, neuroscience, and behavioral economics, Pamela shows you how design can help promote emotional well-being. You'll learn: How design has transformed emotion and how tech is transforming it again New principles for merging emotional intelligence and design thinking How to use a relationship model for framing product interactions and personality Methods for blending well-being interventions with design patterns How emotional resonance can guide designers toward ethical futures Implications of emotionally intelligent technology as it scales from micro- to mega-emotional spheres
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed January 2, 2019)
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  • 37
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Electronic data processing ; Distributed processing ; Management ; Big data ; Information storage and retrieval systems ; Electronic books ; Electronic books ; local
    Abstract: Data is changing everything. Many industries today are being fundamentally transformed through the accumulation and analysis of large quantities of data, stored in diversified but flexible repositories known as data lakes. Whether your company has just begun to think about big data or has already initiated a strategy for handling it, this practical ebook shows you how to plan a successful data lake migration. You'll learn the value of data lakes, their structure, and the problems they attempt to solve. Using Zaloni's data lake maturity model, you'll then explore your organization's readiness for putting a data lake into action. Do you have the tools and data architectures to support big data analysis? Are your people and processes prepared? The data lake maturity model will help you rate your organization's readiness. This report includes: The structure and purpose of a data lake Descriptive, predictive, and prescriptive analytics Data lake curation, self-service, and the use of data lake zones How to rate your organization using the data lake maturity model A complete checklist to help you determine your strategic path forward
    Note: Description based on online resource; title from title page (viewed June 4, 2019)
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  • 38
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Python (Computer program language) ; Natural language processing (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you're a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. Explore computational graphs and the supervised learning paradigm Master the basics of the PyTorch optimized tensor manipulation library Get an overview of traditional NLP concepts and methods Learn the basic ideas involved in building neural networks Use embeddings to represent words, sentences, documents, and other features Explore sequence prediction and generate sequence-to-sequence models Learn design patterns for building production NLP systems
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed January 31, 2019)
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  • 39
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Unity (Electronic resource) ; Computer games ; Programming ; Computer games ; Design ; Electronic books ; Electronic books ; local
    Abstract: Find out how to use the Unity Game Engine to its fullest for both 3D and 2D game development-from the basics to the hottest new tricks in virtual reality. With this unique cookbook, you'll get started in two ways: First, you'll learn about the Unity game engine by following very brief exercises that teach specific features of the software Second, this tutorial-oriented guide provides a collection of snippets that solve common gameplay problems, like determining if a player has completed a lap in a race Using our cookbook format, we pinpoint the problem, set out the solution, and discuss how to solve your problem in the best and most straightforward way possible so you can move onto the next step in the project. Unity Game Development Cookbook is ideal for beginning to intermediate Unity developers. Beginners will get a broad immersion into the Unity development environment, while intermediate developers will learn how to apply the foundational Unity skills they have to solve real game development problems.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 2, 2019)
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  • 40
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: Business enterprises ; Industrial management ; Electronic books ; Electronic books ; local
    Abstract: Today's successful businesses are increasingly digital and technologically astute, but how do they attract and manage employees in a world where two billion people work part-time? How do they develop a workforce when automation is advancing? And how do they serve customers and attract and retain employees when competition for both is high and trust is at an all-time low? In this O'Reilly Radar report, Josh Bersin, Tim O'Reilly, Roger Magoulas, and Mike Loukides address what business leaders, tech leaders, and decision makers can expect, how they can prepare, and what they should learn to shape the future of the business. These lessons affect much more than the bottom line. This report covers big-picture trends we expect to impact the future success of all firms, including: Trust in business is changing: customers seek firms whose values reflect their own. Employees want satisfaction and meaning, not just money and security. The shift to AI and machine learning is changing almost every job. Companies are becoming networked marketplaces that build on core competencies while outsourcing the rest. Many firms offer compensation beyond pay, including alternate work relationships, flexible workplaces, and training opportunities. Embracing diversity requires solving compensation problems, creating a safe workplace, and valuing an employee's opinions.
    Note: Description based on online resource; title from title page (Safari, viewed June 4, 2019)
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  • 41
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Now that companies are moving en masse to the public cloud, how can you leverage your previous investment in a private cloud? Many organizations that developed private clouds in the past decade are busy building hybrid clouds that combine both private and public cloud technologies. This ebook shows IT ops, data ops, and data engineers how a hybrid cloud can give your company a competitive advantage. Author Steve Suehring guides you through the various hybrid and multicloud solutions available. You'll learn how to use a hybrid cloud to store secure data in your own data center and then apply computational resources from the public cloud to run applications with that data. Hybrid clouds also enable you provide efficient backup, warm recoveries, and an easier way to manage regulatory compliance. Learn the advantages and challenges of using a hybrid cloud in your organization Create a hybrid cloud architecture by managing private and public clouds as one unified resource pool Seamlessly manage and move workloads between clouds by working with migration and service movement paths Choose a hybrid cloud solution that provides the support and advanced capabilities your organization requires
    Note: Description based on online resource; title from title page (Safari, viewed May 31, 2019)
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  • 42
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Laravel (Software framework) ; PHP (Computer program language) ; Application program interfaces (Computer software) ; Electronic books ; Electronic books ; local
    Abstract: What sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its vast ecosystem of tools let you quickly build new sites and applications with clean, readable code. Fully updated to cover Laravel 5.8, the latest release, the second edition of this practical guide provides the definitive introduction to one of today's most popular web frameworks. Matt Stauffer-a leading teacher and developer in the Laravel community-delivers a high-level overview and concrete examples to help experienced PHP web developers get started with Laravel right away. By the time you reach the last page, you should feel comfortable writing an entire application in Laravel from scratch.
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed April 10, 2019)
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  • 43
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Augmented reality ; Design ; Virtual reality ; Design ; Human-computer interaction ; Electronic books ; Electronic books ; local
    Abstract: Despite popular forays into augmented and virtual reality in recent years, spatial computing still sits on the cusp of mainstream use. Developers, artists, and designers looking to enter this field today have few places to turn for expert guidance. In this book, Erin Pangilinan, Steve Lukas, and Vasanth Mohan examine the AR and VR development pipeline and provide hands-on practice to help you hone your skills. Through step-by-step tutorials, you'll learn how to build practical applications and experiences grounded in theory and backed by industry use cases. In each section of the book, industry specialists, including Timoni West, Victor Prisacariu, and Nicolas Meuleau, join the authors to explain the technology behind spatial computing. In three parts, this book covers: Art and design: Explore spatial computing and design interactions, human-centered interaction and sensory design, and content creation tools for digital art Technical development: Examine differences between ARKit, ARCore, and spatial mapping-based systems; learn approaches to cross-platform development on head-mounted displays Use cases: Learn how data and machine learning visualization and AI work in spatial computing, training, sports, health, and other enterprise applications
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 15, 2019)
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  • 44
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Augmented reality ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Augmented reality helps you bring digital information into the physical world, while blending the two in new ways. AR has finally developed to the point of usability, and (as some corporations are proving), it has potential value for any technology stack. With this practical ebook, you'll gain a fresh and broader look at AR. How does this technology integrate with your company? How do you sell it in? What's going on outside of industry that will determine how AR develops? Author Leah Hunter explores the big ideas, emerging trends, and most interesting advances in AR industry, education, and retail. Along with basic technical experience, this ebook includes interviews with 23 notable AR-focused developers, investors, artists, and explorers who examine how AR interweaves with business and with life. If you're building an AR solution, or want to pursue an AR career, this guide provides: A deeper awareness of the ideas, emerging trends, and advances in AR, both technical and non-technical Case studies and interviews that reveal insider-information about how companies are thinking about and using AR Ideas for building a smart business strategy as AR becomes used more broadly Technical knowledge on how to build content for service-focused AR Ways to think about AR-as a technologist and a human-including ethical questions about using and building the technology
    Note: Description based on online resource; title from title page (Safari, viewed March 29, 2018)
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  • 45
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Apache Hadoop ; Electronic data processing ; Distributed processing ; Big data ; Real-time data processing ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Fast data ingestion, serving, and analytics in the Hadoop ecosystem have forced developers and architects to choose solutions using the least common denominator-either fast analytics at the cost of slow data ingestion or fast data ingestion at the cost of slow analytics. There is an answer to this problem. With the Apache Kudu column-oriented data store, you can easily perform fast analytics on fast data. This practical guide shows you how. Begun as an internal project at Cloudera, Kudu is an open source solution compatible with many data processing frameworks in the Hadoop environment. In this book, current and former solutions professionals from Cloudera provide use cases, examples, best practices, and sample code to help you get up to speed with Kudu. Explore Kudu's high-level design, including how it spreads data across servers Fully administer a Kudu cluster, enable security, and add or remove nodes Learn Kudu's client-side APIs, including how to integrate Apache Impala, Spark, and other frameworks for data manipulation Examine Kudu's schema design, including basic concepts and primitives necessary to make your project successful Explore case studies for using Kudu for real-time IoT analytics, predictive modeling, and in combination with another storage engine
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed April 10, 2019)
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  • 46
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition
    Keywords: Information visualization ; Visual analytics ; Electronic books ; Electronic books ; local ; Daten ; Visualisierung
    Abstract: You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you're a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way. When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world. You'll learn: The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualization The role that visual representations play in data discovery Common visualization types by the tasks they fulfill and the data they use Visualization techniques that use multiple views and interaction to support analysis of large, complex data sets
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed January 5, 2018)
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  • 47
    ISBN: 9781492032892 , 1492032891
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Web services ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: If your organization is planning a move to the cloud this year, choosing a provider from among hundreds available can be the most difficult part. How do you narrow down the field? In this article, Jesse Anderson, managing director of the Big Data Institute, provides guidelines to help you find a cloud provider that meets your company's specific needs. Understanding your use case is key. Providers employ different technologies, and if your organization is tackling big data problems at scale, those differences can be critical. There are also logistical concerns: How difficult will it be to train your staff on the provider's technologies? Who in your company will be responsible for the many moving parts? How do you deal with vendor lock-in? With the guidelines in this article, you'll learn how to distinguish among the capabilities of various cloud providers and then fine-tune your decision process by homing in on questions related to your particular use case.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (viewed February 2, 2018)
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  • 48
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Go (Computer program language) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Docker's catchphrase for its containers is compelling: "Build, Ship and Run Any App, Anywhere." Go already has some of those attributes built in, including cross-compilation and the production of single executable files without dependencies. Are there any reasons, then, for Go programmers to use containers to deploy code? In this lesson, veteran developer Liz Rice outlines several advantages that containers can provide for Go programmers-such as how they help you restrict the resources that your code can access, and how you can use them to run and test your software locally with other components. You'll then look at some cases where containers wouldn't add any benefit at all. As always, it's important to use the right tool for the job, and containers can offer advantages for Go programmers in the right circumstances. This lesson provides some helpful guidelines.
    Note: Description based on online resource; title from title page (Safari, viewed February 7, 2018)
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  • 49
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Electronic commerce ; Business enterprises ; Computer networks ; Electronic books ; Electronic books ; local
    Abstract: In the race to compete in today's fast-moving markets, large enterprises are busy adopting new technologies for creating new products, processes, and business models. But one obstacle on the road to digital transformation is placing too much emphasis on technology, and not enough on the types of processes technology enables. What if different lines of business could build their own services and applications-and decision-making was distributed rather than centralized? This report explores the concept of a digital business platform as a way of empowering individual business sectors to act on data in real time. Much innovation in a digital enterprise will increasingly happen at the edge, whether it involves business users (from marketers to data scientists) or IoT devices. To facilitate the process, your core IT team can provide these sectors with the digital tools they need to innovate quickly. This report explores: Key cultural and organizational changes for developing business capabilities through cross-functional product teams A platform for integrating applications, data sources, business partners, clients, mobile apps, social networks, and IoT devices Creating internal API programs for building innovative edge services in low- code or no-code environments Tools including Integration Platform as a Service, Application Platform as a Service, and Integration Software as a Service The challenge of integrating microservices and serverless architectures An integration solution for a digital business platform that serves every audience in your organization
    Note: Description based on online resource; title from title page (viewed January 10, 2019)
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  • 50
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Electronic data processing ; Distributed processing ; System design ; Application program interfaces (Computer software) ; Electronic books ; Electronic books ; local
    Abstract: Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient. Author Brendan Burns-Director of Engineering at Microsoft Azure-demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systems Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed February 26, 2018)
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  • 51
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer networks ; Security measures ; Computer crimes ; Investigation ; Business enterprises ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: Many organizations are discovering that traditional security tools alone aren't enough to protect their networks. In this practical report, you'll explore threat intelligence, a method for collecting information on various forms of malicious cyber activity as a way to bolster your in-house measures. Author Allan Liska, security architect at Recorded Future, takes you through the threat intelligence cycle and explains what is required to put together an effective threat intelligence program for your company. Backed by case studies of several organizations that have successfully implemented these initiatives, this report explains that threat intelligence is actionable external information that, when correlated against internal data, can be used to detect or prevent an attack. You'll understand how threat intelligence enables you to stay abreast of current as well as future threats. Understand exactly what threat intelligence is, and how to correlate it to internal events Collect and apply threat intelligence, gain feedback, and incorporate feedback into your own threat intelligence cycle Examine tactical, operational, and strategic intelligence, and ensure that the right information gets to the right people Get practical examples from several organizations that have correctly implemented threat intelligence programs
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 10, 2019)
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  • 52
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Information technology ; Management ; Computer networks ; Security measures ; Computer networks ; Access control ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: .
    Note: Description based on online resource; title from title page (Safari, viewed August 15, 2018)
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  • 53
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: Twelfth edition.
    Series Statement: Missing manual
    Keywords: iPhone (Smartphone) ; Handbooks, manuals, etc ; Cell phones ; Handbooks, manuals, etc ; Mobile computing ; Handbooks, manuals, etc ; Electronic books ; Electronic books ; local
    Abstract: The iPhone XS, XS Max, and XR aren't just faster and more powerful than ever-they're also better at all of the things you use an iPhone for. With the latest edition of this bestselling guide, you get a funny, gorgeously illustrated guide to the tips, shortcuts, and workarounds that will turn you into an iPhone master. This easy-to-use book will also get you up to speed on all iOS 12 features, including new Siri shortcuts, Group FaceTime, and improved parental controls. Missing Manual series creator and former New York Times columnist David Pogue helps you accomplish everything from web browsing to watching videos. You'll get up to speed on features such as Dual SIM Support that lets you use two lines on one phone and True Tone technology that adjusts the display to your environment. Pick up this beautiful full-color book and learn how to get the most out of your iPhone.
    Note: Includes index. - Description based on online resource; title from title page (viewed February 14, 2019)
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  • 54
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: As this brief article explains, AI broadly defines many systems designed to answer questions and solve problems. Consider Amazon's recommendation system. Or the GPS navigation system that talks to you. Like plumbing or electricity, we'll soon take AI for granted as it steadily does more to help us manage our lives. In this article, O'Reilly's Mike Loukides and Ben Lorica offer a definition of AI by discussing the meaning of intelligence, and exploring whether modern AI applications operate as assistants or actors.
    Note: "This report is an excerpted from the book What is artificial intelligence.". - Description based on online resource; title from title page (Safari, viewed May 4, 2018)
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  • 55
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Application software ; Development ; Web services ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Enterprises are embracing the hybrid cloud to modernize IT for the digital era, but given the significant complexity that still exists in cross-cloud management and integration, many companies struggle to create an effective hybrid cloud strategy. In this ebook, IT industry expert Philip Trautman examines why the hybrid cloud has become the preferred enterprise model. IT leaders will learn how to assess, plan, and implement a hybrid cloud strategy to achieve greater visibility and control over both traditional enterprise applications and cloud-native applications-all while decreasing management complexity. By following this approach, you'll choose a single framework-a cloud OS-to manage workloads on-premises and in the cloud; modernize on-premises environments; and select cloud providers compatible with the chosen framework. Explore hybrid cloud benefits, including the flexibility to take advantage of distributed and edge environments Assess your current operations and future workload needs and create a decision matrix to establish hybrid cloud goals Choose a cloud operating environment and determine how to modernize data centers and other infrastructure Select public clouds, cloud service providers, and SaaS providers that work with your cloud OS Shift your development efforts to DevOps to accelerate delivery of new applications and services Make organizational changes to ensure hybrid cloud and DevOps success
    Note: Description based on online resource; title from title page (Safari, viewed September 17, 2018)
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  • 56
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Prometheus (Computer file) ; Cloud computing ; Computer networks ; Monitoring ; Application software ; Development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Get up to speed with Prometheus, the metrics-based monitoring system used by tens of thousands of organizations in production. This practical guide provides application developers, sysadmins, and DevOps practitioners with a hands-on introduction to the most important aspects of Prometheus, including dashboarding and alerting, direct code instrumentation, and metric collection from third-party systems with exporters. This open source system has gained popularity over the past few years for good reason. With its simple yet powerful data model and query language, Prometheus does one thing, and it does it well. Author and Prometheus developer Brian Brazil guides you through Prometheus setup, the Node exporter, and the Alertmanager, then demonstrates how to use them for application and infrastructure monitoring. Know where and how much to apply instrumentation to your application code Identify metrics with labels using unique key-value pairs Get an introduction to Grafana, a popular tool for building dashboards Learn how to use the Node Exporter to monitor your infrastructure Use service discovery to provide different views of your machines and services Use Prometheus with Kubernetes and examine exporters you can use with containers Convert data from other monitoring systems into the Prometheus format
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed March 22, 2019)
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  • 57
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer architecture ; Software architecture ; Electronic data processing ; Software engineering ; Big data ; Electronic books ; Electronic books ; local
    Abstract: There are many benefits to becoming a data-driven organization, including the ability to accelerate and improve business decision accuracy through the real-time processing of transactions, social media streams, and IoT data. But those benefits require significant changes to your infrastructure. You need flexible architectures that can copy data to analytics platforms at near-zero latency while maintaining 100% production uptime. Fortunately, a solution already exists. This ebook demonstrates how change data capture (CDC) can meet the scalability, efficiency, real-time, and zero-impact requirements of modern data architectures. Kevin Petrie, Itamar Ankorion, and Dan Potter-technology marketing leaders at Attunity-explain how CDC enables faster and more accurate decisions based on current data and reduces or eliminates full reloads that disrupt production and efficiency. The book examines: How CDC evolved from a niche feature of database replication software to a critical data architecture building block Architectures where data workflow and analysis take place, and their integration points with CDC How CDC identifies and captures source data updates to assist high-speed replication to one or more targets Case studies on cloud-based streaming and streaming to a data lake and related architectures Guiding principles for effectively implementing CDC in cloud, data lake, and streaming environments The Attunity Replicate platform for efficiently loading data across all major database, data warehouse, cloud, streaming, and Hadoop platforms
    Note: Description based on online resource; title from title page (Safari, viewed July 2, 2018)
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  • 58
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: 4th edition.
    Series Statement: Head first
    Keywords: Project management ; Examinations ; Study guides ; Project management ; Examinations, questions, etc ; Electronic books ; local ; Electronic books
    Abstract: What will you learn from this book? Head First PMP teaches you the latest principles and certification objectives in The PMBOK® Guide in a unique and inspiring way. This updated fourth edition takes you beyond specific questions and answers with a unique visual format that helps you grasp the big picture of project management. By putting PMP concepts into context, you'll be able to understand, remember, and apply them-not just on the exam, but on the job. No wonder so many people have used Head First PMP as their sole source for passing the PMP exam. This book will help you: Learn PMP's underlying concepts to help you understand the PMBOK principles and pass the certification exam with flying colors Get 100% coverage of the latest principles and certification objectives in The PMBOK® Guide, Sixth Edition Make use of a thorough and effective preparation guide with hundreds of practice questions and exam strategies Explore the material through puzzles, games, problems, and exercises that make learning easy and entertaining Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First PMP uses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works.
    Note: Previous edition published: 2013. - "Updated for the 2018 PMP exam. Covers PMBOK Guide, 6th edition"--Cover. - Includes index. - Description based on online resource; title from title page (Safari, viewed October 8, 2018)
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  • 59
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: Computer software ; Reliability ; Computer software ; Quality control ; Computer software ; Testing ; Software maintenance ; Computer software ; Management ; Electronic books ; Electronic books ; local
    Abstract: Continuous integration, continuous delivery, and continuous deployment are key software delivery processes in a DevOps environment. But what does each one do for your product development and release cycles? Brent Laster explains what these terms really boil down to, and how they work separately and together to help your team release software. This powerful set of disciplines, best practices, and technologies automates the process of integrating and delivering source code changes from inception through production. Although their implementation may vary, these processes are necessary to ensure that software is released frequently, reliably, and with high quality. You'll learn how: Continuous integration ensures that individual code changes are suitable for inclusion in the code base and merged in successfully Continuous delivery assembles your product, automatically testing the quality and functionality along the way, and produces deliverables that are proven to be deployable Continuous deployment simplifies releasing the product to customers, whether it's in the cloud, via download, or in some other format, while also allowing for limited deployments or rolling deployments back
    Note: Description based on online resource; title from title page (viewed January 5, 2018)
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  • 60
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: Eleventh edition.
    Series Statement: The missing manual
    Keywords: iPhone (Smartphone) ; Handbooks, manuals, etc ; Smartphones ; Handbooks, manuals, etc ; Mobile computing ; Handbooks, manuals, etc ; Electronic books ; Electronic books ; local
    Abstract: iOS 11 for the iPhone includes a host of exciting new features, including a revamped Control Center and all-new powers for some of your favorite apps-Siri, AirPlay 2, Maps, Photos, and Maps. You can even send payment via iMessages and type with one hand! And the best way to learn all of these features is with iPhone: The Missing Manual -a funny, gorgeously illustrated guide to the tips, shortcuts, and workarounds that will turn you, too, into an iPhone master. This easy-to-use book will help you accomplish everything from web browsing to watching videos so you can get the most out of your iPhone. Written by Missing Manual series creator and former New York Times columnist David Pogue, this updated guide shows you everything you need to know about the new features and user interface of iOS 11 for the iPhone.
    Note: "Covers all models with iOS 11 software, including iPhone 8 and iPhone X"--Cover. - Includes index. - Description based on online resource; title from title page (Safari, viewed January 16, 2018)
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  • 61
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fourth edition.
    Keywords: iOS (Electronic resource) ; Swift (Computer program language) ; Mobile computing ; Programming ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Move into iOS development by getting a firm grasp of its fundamentals, including the Xcode 9 IDE, Cocoa Touch, and the latest version of Apple's acclaimed programming language, Swift 4. With this thoroughly updated guide, you'll learn the Swift language, understand Apple's Xcode development tools, and discover the Cocoa framework. Explore Swift's object-oriented concepts Become familiar with built-in Swift types Dive deep into Swift objects, protocols, and generics Tour the lifecycle of an Xcode project Learn how nibs are loaded Understand Cocoa's event-driven design Communicate with C and Objective-C In this edition, catch up on the latest iOS programming features. Multiline strings and improved dictionaries Object serialization Key paths and key-value observing Expanded git integration Code refactoring And more! Once you master the fundamentals, you'll be ready to tackle the details of iOS app development with author Matt Neuburg's companion guide, Programming iOS 11 .
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed October 6, 2017)
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  • 62
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Amazon Web Services (Firm) ; Web services ; Cloud computing ; Computer network architectures ; Electronic books ; Electronic books ; local
    Abstract: Learn how to design and deploy infrastructure-as-a-service (IaaS) solutions in the cloud using Amazon Web Services. With this ebook, system administrators and architects will explore core AWS IaaS solutions for computing, database storage, networking, and other functionality. Eric Wright, technology evangelist at Turbonomic, provides practical examples, design patterns, and tips to help you confidently build a working IaaS solution. Once you finish this ebook, you'll be familiar with AWS core components, understand how AWS concepts map against traditional virtualization, and know how to design your AWS solution for resiliency. You'll also be able to launch and manage your cloud solution using either the AWS command-line interface or the AWS web console. Explore the AWS public cloud platform with a focus on IaaS features such as geographic regions, availability zones, and service-level agreements Learn basic networking and security on the AWS Virtual Private Cloud (VPC) platform for launching your compute and storage resources Add compute resources to your newly launched VPC by setting up operational tasks with AWS Elastic Compute Cloud (EC2) Explore the types of storage available on AWS Elastic Block Storage (EBS), including their cost, performance impact, and examples of operational tasks
    Note: Description based on online resource; title from title page (Safari, viewed January 22, 2019)
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  • 63
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Data mining ; Moral and ethical aspects ; Big data ; Machine learning ; Quantitative research ; Electronic books ; local
    Abstract: As the impact of data science continues to grow on society there is an increased need to discuss how data is appropriately used and how to address misuse. Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day. To help you consider all of possible ramifications of your work on data projects, this report includes: A sample checklist that you can adapt for your own procedures Five framing guidelines (the Five C's) for building data products: consent, clarity, consistency, control, and consequences Suggestions for building ethics into your data-driven culture Now is the time to invest in a deliberate practice of data ethics, for better products, better teams, and better outcomes. Get a copy of this report and learn what it takes to do good data science today.
    Note: Description based on online resource; title from title page (Safari, viewed August 17, 2018)
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  • 64
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Java (Computer program language) ; Virtual computer systems ; Electronic books ; Electronic books ; local
    Abstract: Performance tuning is an experimental science, but that doesn't mean engineers should resort to guesswork and folklore to get the job done. Yet that's often the case. With this practical book, intermediate to advanced Java technologists working with complex technology stacks will learn how to tune Java applications for performance using a quantitative, verifiable approach. Most resources on performance tend to discuss the theory and internals of Java virtual machines, but this book focuses on the practicalities of performance tuning by examining a wide range of aspects. There are no simple recipes, tips and tricks, or algorithms to learn. Performance tuning is a process of defining and determining desired outcomes. And it requires diligence. Learn how Java principles and technology make the best use of modern hardware and operating systems Explore several performance tests and common anti-patterns that can vex your team Understand the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarking Dive into JVM garbage collection logging, monitoring, tuning, and tools Explore JIT compilation and Java language performance techniques Learn performance aspects of the Java Collections API and get an overview of Java concurrency
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed June 25, 2018)
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  • 65
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Mobile apps ; Programming ; JavaScript (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Get a practical introduction to React Native, the JavaScript framework for writing and deploying fully featured mobile apps that render natively. The second edition of this hands-on guide shows you how to build applications that target iOS, Android, and other mobile platforms instead of browsers-apps that can access platform features such as the camera, user location, and local storage. Through code examples and step-by-step instructions, web developers and frontend engineers familiar with React will learn how to build and style interfaces, use mobile components, and debug and deploy apps. You'll learn how to extend React Native using third-party libraries or your own Java and Objective-C libraries. Understand how React Native works under the hood with native UI components Examine how React Native's mobile-based components compare to basic HTML elements Create and style your own React Native components and applications Take advantage of platform-specific APIs, as well as modules from the framework's community Incorporate platform-specific components into cross-platform apps Learn common pitfalls of React Native development, and tools for dealing with them Combine a large application's many screens into a cohesive UX Handle state management in a large app with the Redux library
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed November 10, 2017)
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  • 66
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Computer architecture ; Electronic books ; Electronic books ; local
    Abstract: Cloud native infrastructure is more than servers, network, and storage in the cloud-it is as much about operational hygiene as it is about elasticity and scalability. In this book, you'll learn practices, patterns, and requirements for creating infrastructure that meets your needs, capable of managing the full life cycle of cloud native applications. Justin Garrison and Kris Nova reveal hard-earned lessons on architecting infrastructure from companies such as Google, Amazon, and Netflix. They draw inspiration from projects adopted by the Cloud Native Computing Foundation (CNCF), and provide examples of patterns seen in existing tools such as Kubernetes. With this book, you will: Understand why cloud native infrastructure is necessary to effectively run cloud native applications Use guidelines to decide when-and if-your business should adopt cloud native practices Learn patterns for deploying and managing infrastructure and applications Design tests to prove that your infrastructure works as intended, even in a variety of edge cases Learn how to secure infrastructure with policy as code
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed November 7, 2017)
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  • 67
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Reinforcement learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines. TensorFlow for Deep Learning teaches concepts through practical examples and helps you build knowledge of deep learning foundations from the ground up. It's ideal for practicing developers with experience designing software systems, and useful for scientists and other professionals familiar with scripting but not necessarily with designing learning algorithms. Learn TensorFlow fundamentals, including how to perform basic computation Build simple learning systems to understand their mathematical foundations Dive into fully connected deep networks used in thousands of applications Turn prototypes into high-quality models with hyperparameter optimization Process images with convolutional neural networks Handle natural language datasets with recurrent neural networks Use reinforcement learning to solve games such as tic-tac-toe Train deep networks with hardware including GPUs and tensor processing units
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed April 24, 2018)
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  • 68
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Artificial intelligence ; Economic aspects ; Machine learning ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Artificial intelligence is already changing industry landscapes, with early adopters reporting benefits in high-value business cases such as fraud detection, preventative maintenance, and recommendation engines. Yet working on an AI initiative is demanding for many enterprises, whether you're in the middle of the process or just getting started. This ebook provides advice to help your company complete your AI journey. Chad Meley from Teradata and Atif Kureishy and Ben Mackenzie from Think Big Analytics provide countermeasures for common AI challenges that arise when creating a strategy, dealing with technical issues, or operationalizing an AI initiative. You'll explore several case studies, including how a major bank successfully used a variety of deep learning methods to fight financial crime. With this ebook, you'll discover: How deep learning has the potential to increase production, drive down cost, reduce waste, improve efficiency, and push innovation Options and trade-offs for leveraging AI capabilities, including SaaS solutions, public cloud-based APIs, and custom AI models AI case studies for mining image data, using image recognition, providing customer service, and designing document automation How to overcome challenges in delivering value from custom AI development What to do in the face of emerging AI trends over the next three years
    Note: Description based on online resource; title from title page (Safari, viewed January 17, 2019)
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  • 69
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Ethernet (Local area network system) ; Computer networks ; Security measures ; Extranets (Computer networks) ; Electronic books ; Electronic books ; local
    Abstract: Ethernet VPN (EVPN) has recently been gaining support among companies looking to solve problems in the design of data center networks. This mature technology has been a part of service provider networks for years, but data center network architects and operators have to contend with complex concepts and terminology spread across multiple standards documents to piece together the relevant model for their data center. This practical ebook cuts through the fog to explain how you can deploy this technology in the core of your data center. By guiding you through EVPN concepts and practicalities, author Dinesh Dutt (BGP in the Data Center) illustrates why this technology is the piece you need to successfully adopt VXLAN in your Clos-based network. You'll also discover why EVPN can be simpler to use in data centers than in service provider networks. Understand network virtualization overlays (NVO) and network tunneling Learn the constructs that Border Gateway Protocol (BGP) provides to support NVOs Understand how bridging works in EVPN networks, including the behavior with dual-attached hosts Examine different routing models with EVPN Inspect the most common deployment scenarios in EVPN configuration and put them to use in other situations
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed August 13, 2018)
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  • 70
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Mobile apps ; Development ; JavaScript (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Tackling an app development project on multiple platforms is no simple task. When time is in short supply and customers need access from the tap of a home screen, React Native can provide a lean development team with the tools needed to deliver a multi-platform native experience without juggling multiple programming languages and shifting code bases. React Native is an emerging technology and best practices are only beginning to bubble up. Fortunately, a growing user community-from tech giants such as Facebook, Yahoo, and Airbnb to the independent developers-is hard at work codifying patterns and best practices for how to use React Native. This cookbook is another milestone on that journey. Aimed at people with some JavaScript and web development experience, the first part of this cookbook covers some simple tips for getting started with React Native. Part 2 will cover some emerging patterns that are commonly found in most native applications.
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed February 28, 2018)
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  • 71
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Ninth edition.
    Keywords: iOS (Electronic resource) ; Electronic books ; Electronic books ; local
    Abstract: If you're grounded in the basics of Swift, Xcode, and the Cocoa framework, this book provides a structured explanation of all essential real-world iOS app components. Through deep exploration and copious code examples, you'll learn how to create views, manipulate view controllers, and add features from iOS frameworks. Create, arrange, draw, layer, and animate views that respond to touch Use view controllers to manage multiple screens of interface Master interface classes for scroll views, table views, text, popovers, split views, web views, and controls Dive into frameworks for sound, video, maps, and sensors Access user libraries: music, photos, contacts, and calendar Explore additional topics, including files, networking, and threads Stay up-to-date on iOS 12 innovations, such as User Notification framework improvements, as well as changes in Xcode 10 and Swift 4.2. All example code is available on GitHub for you to download, study, and run. Want to brush up on the basics? Pick up iOS 12 Programming Fundamentals with Swift to learn about Swift, Xcode, and Cocoa. Together with Programming iOS 12 , you'll gain a solid, rigorous, and practical understanding of iOS 12 development.
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed April 1, 2019)
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  • 72
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application program interfaces (Computer software) ; Application software ; Development ; Internet programming ; Electronic books ; Electronic books ; local
    Abstract: A lot of work is required to release an API, but the effort doesn't always pay off. Overplanning before an API matures is a wasted investment, while underplanning can lead to disaster. This practical guide provides maturity models for individual APIs and multi-API landscapes to help you invest the right human and company resources for the right maturity level at the right time. How do you balance the desire for agility and speed with the need for robust and scalable operations? Four experts from the API Academy show software architects, program directors, and product owners how to maximize the value of their APIs by managing them as products through a continuous life cycle. Learn which API decisions you need to govern and how and where to do so Design, deploy, and manage APIs using an API-as-a-product (AaaP) approach Examine ten pillars that form the foundation of API product work Learn how the continuous improvement model governs changes throughout an API's lifetime Explore the five stages of a complete API product life cycle Delve into team roles needed to design, build, and maintain your APIs Learn how to manage your API landscape-the set of APIs published by your organization
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed January 14, 2019)
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  • 73
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Open source software ; Computer software ; Development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: The application of open source principles and practices to create in-house software is taking off in the corporate world. Known as InnerSource, this development strategy lets development teams collaborate and share code to speed delivery and improve quality while helping to eliminate silos and bottlenecks. With this practical ebook, you'll explore case studies from Bell Labs, PayPal, Ericsson, Nike, Bosch, and Europace that demonstrate why and how InnerSource can work in your organization. These case studies candidly discuss the difficulties of starting InnerSource projects, as well as the benefits and trials each company experienced during the process. Authors Danese Cooper and Klaas-Jan Stol also provide executives, midlevel managers, and developers with advice for choosing and structuring your first InnerSource experiment. You'll explore how: The Apache Software Foundation codified many of the best practices learned by open source developers over decades Bell Laboratories used an early InnerSource approach to implement VoIP Bosch uses InnerSource to improve collaboration among business units worldwide PayPal's Symphony module developed into the company's longest and most intentional InnerSource experiment Fintech company Europace uses InnerSource to move toward decentralized self-organization Ericsson developed its own unique InnerSource model for several projects, including a consistent user interface Nike built a reusable continuous development infrastructure using InnerSource principles
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed October 4, 2018)
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  • 74
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (iii, 3 pages) , illustrations
    Edition: First edition.
    Keywords: Product management ; Marketing ; Management ; 21st century ; Electronic books ; Electronic books ; local
    Abstract: In a narrow sense, product managers work with designers and developers to build and maintain a company's products. But product managers work best when they reach across organizational silos to connect internal stakeholders with your business goals-while ensuring those goals align with user needs. In this article, product management coach and consultant Matt LeMay explains why product managers are most effective when actively pursuing the critical role as "the voice of the customer" for your entire company.
    Note: Description based on online resource; title from title page (Safari, viewed May 24, 2018)
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  • 75
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics. Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications. You'll find recipes for: Vectors, matrices, and arrays Handling numerical and categorical data, text, images, and dates and times Dimensionality reduction using feature extraction or feature selection Model evaluation and selection Linear and logical regression, trees and forests, and k-nearest neighbors Support vector machines (SVM), naïve Bayes, clustering, and neural networks Saving and loading trained models
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed March 19, 2018)
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  • 76
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Jenkins (Software development tool) ; Computer software ; Quality control ; Computer software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Design, implement, and execute continuous delivery pipelines with a level of flexibility, control, and ease of maintenance that was not possible with Jenkins before. With this practical book, build administrators, developers, testers, and other professionals will learn how the features in Jenkins 2 let you define pipelines as code, leverage integration with other key technologies, and create automated, reliable pipelines to simplify and accelerate your DevOps environments. Author Brent Laster shows you how Jenkins 2 is significantly different from the more traditional, web-only versions of this popular open source automation platform. If you're familiar with Jenkins and want to take advantage of the new technologies to transform your legacy pipelines or build new modern, automated continuous delivery environments, this is your book. Create continuous delivery pipelines as code with the Jenkins domain-specific language Get practical guidance on how to migrate existing jobs and pipelines Harness best practices and new methods for controlling access and security Explore the structure, implementation, and use of shared pipeline libraries Learn the differences between declarative syntax and scripted syntax Leverage new and existing project types in Jenkins Understand and use the new Blue Ocean graphical interface Take advantage of the capabilities of the underlying OS in your pipeline Integrate analysis tools, artifact management, and containers
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed June 1, 2018)
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  • 77
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Python (Computer program language) ; Natural language processing (Computer science) ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist's approach to building language-aware products with applied machine learning. You'll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you'll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed July 23, 2018)
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  • 78
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Natural language processing ; User interfaces (Computer systems) ; Internet of things ; Speech processing systems ; Electronic books ; Electronic books ; local
    Abstract: Get a step-by-step guide for developing voice interfaces for applications and devices connected to the Internet of Things. By allowing consumers to use natural human interactions, you can avoid awkward methods of input and interactivity to provide them with elevated user experiences. This practical book is ideal for software engineers who build applications for the Web, smartphones, as well as embedded systems that dominate the IoT space. Integrate voice interfaces with internet connected devices and sensors Learn how to integrate with existing voice interfaces Understand when to use a voice over other Natural User Interface technologies Build a prototype with tools such as Raspberry Pi, solderless breadboards, jumper cables, sensors, Arduino, Visual Studio, and other tools Use cloud services such as Azure and AWS to integrate voice with your existing or new web service end-points
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed October 26, 2017)
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  • 79
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    ISBN: 9781491921975 , 1491921978
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: HTML (Document markup language) ; Cascading style sheets ; JavaScript (Computer program language) ; Web site development ; Electronic books ; Electronic books ; local
    Abstract: Using Scalable Vector Graphics (SVG) for illustrations only scratches the surface of this format's potential on the web. With this practical guide, you'll learn how to use SVG not only for illustrations but also as graphical documents that you can integrate into complex HTML5 web pages, and style with custom CSS. Web developers will discover ways to adapt designs by adding data based graphics, dynamic styles, interaction, or animation. Divided into five parts, this book includes: SVG on the web: Understand how SVG works with HTML, CSS, and JavaScript to define graphics Drawing with markup: Learn the vector language of x and y coordinates that let SVG create basic and custom shapes Putting graphics in their place: Use the coordinate system to draw SVG shapes and text at different scales and positions Artistic touches: Explore how color is used, how strokes are created and manipulated, and how graphical effects like filters, clipping, and masking are applied SVG as an application: Make your graphic more accessible to humans and computers, and learn how to make it interactive or animated
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed October 20, 2017)
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  • 80
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Big data ; Database management ; Electronic books ; Electronic books ; local
    Abstract: While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution. Authors Ted Malaska and Jonathan Seidman guide you through the major components necessary to start, architect, and develop successful big data projects. Everyone from CIOs and COOs to lead architects and developers will explore a variety of big data architectures and applications, from massive data pipelines to web-scale applications. Each chapter addresses a piece of the software development life cycle and identifies patterns to maximize long-term success throughout the life of your project. Start the planning process by considering the key data project types Use guidelines to evaluate and select data management solutions Reduce risk related to technology, your team, and vague requirements Explore system interface design using APIs, REST, and pub/sub systems Choose the right distributed storage system for your big data system Plan and implement metadata collections for your data architecture Use data pipelines to ensure data integrity from source to final storage Evaluate the attributes of various engines for processing the data you collect
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
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  • 81
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: You've seen your organization's future and it clearly includes cloud computing. Question is, how do you get there? Do you migrate your existing infrastructure and services, or rebuild your technology and go cloud native? This article examines the pros and cons of each approach, and looks into non-technical considerations involving people, processes, and costs.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 16, 2018)
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  • 82
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Database management ; Information technology ; Management ; Agile software development ; Electronic books ; Electronic books ; local
    Abstract: Most organizations realize that their future depends on the ability to quickly adapt to constant changes brought on by variable and complex environments. It's become increasingly clear that the core source behind these innovative solutions is data. Polyglot persistence refers to systems that provide many different types of data storage technologies to deal with this vast variability of data. Applications that need to access data from more than one store have to navigate an array of databases in a complex-and ultimately unsustainable-maze. One solution to this problem is readily available. In this ebook, consultant Joel Ruisi explains how a multi-model database enables you to take advantage of many different types of data models (and multiple schemas) in a single backend. With a multi-model database, companies can easily centralize, manage, and search all the data the IT system collects. The result is data agility : the ability to adapt to changing environments and serve users what they need when they need it. Through several detailed use cases, this ebook explains how multi-model databases enable you to: Store and manage multiple heterogeneous data sources Consolidate your data by bringing everything in "as is" Invisibly extend model features from one model to another Take a hybrid approach to analytical and operational data Enhance user search experience, including big data search Conduct queries across data models Offer SQL without relational constraints
    Note: Description based on online resource; title from title page (Safari, viewed January 8, 2019)
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  • 83
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fifth edition.
    Keywords: MySQL (Electronic resource) ; PHP (Computer program language) ; JavaScript (Computer program language) ; Web site development ; Web sites ; Design ; Electronic books ; Electronic books ; local
    Abstract: Build interactive, data-driven websites with the potent combination of open source technologies and web standards, even if you have only basic HTML knowledge. In this update to this popular hands-on guide, you'll tackle dynamic web programming with the latest versions of today's core technologies: PHP, MySQL, JavaScript, CSS, HTML5, and key jQuery libraries. Web designers will learn how to use these technologies together and pick up valuable web programming practices along the way-including how to optimize websites for mobile devices. At the end of the book, you'll put everything together to build a fully functional social networking site suitable for both desktop and mobile browsers. Explore MySQL, from database structure to complex queries Use the MySQLi extension, PHP's improved MySQL interface Create dynamic PHP web pages that tailor themselves to the user Manage cookies and sessions and maintain a high level of security Enhance the JavaScript language with jQuery and jQuery mobile libraries Use Ajax calls for background browser-server communication Style your web pages by acquiring CSS2 and CSS3 skills Implement HTML5 features, including geolocation, audio, video, and the canvas element Reformat your websites into mobile web apps
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed August 6, 2018)
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  • 84
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (xiii, 145 pages) , illustrations
    Edition: First edition.
    Keywords: Web site development ; Web applications ; Development ; Computer programs ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Get an in-depth tour of OpenShift, the container-based software deployment and management platform from Red Hat that provides a secure multi-tenant environment for the enterprise. This practical guide describes in detail how OpenShift, building on Kubernetes, enables you to automate the way you create, ship, and run applications in a containerized environment. Author Graham Dumpleton provides the knowledge you need to make the best use of the OpenShift container platform to deploy not only your cloud-native applications, but also more traditional stateful applications. Developers and administrators will learn how to run, access, and manage containers in OpenShift, including how to orchestrate them at scale. Build application container images from source and deploy them Implement and extend application image builders Use incremental and chained builds to accelerate build times Automate builds by using a webhook to link OpenShift to a Git repository Add configuration and secrets to the container as project resources Make an application visible outside the OpenShift cluster Manage persistent storage inside an OpenShift container Monitor application health and manage the application lifecycle This book is a perfect follow-up to OpenShift for Developers: A Guide for Impatient Beginners (O'Reilly).
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed May 23, 2018)
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  • 85
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Real-time data processing ; Electronic data processing ; Distributed processing ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: If you've begun to deploy large-scale data systems into production, or have at least explored the process, this practical ebook shows business team leaders, business analysts, and technical developers how to make your big data analytics, machine learning, and AI initiatives production ready. Authors Ted Dunning and Ellen Friedman provide a non-technical guide to best practices for a process that can be quite challenging. Rather than provide a complex review of tools, this ebook explores fundamental ideas on how to make your analytics production easier and more effective, based on the authors' observations across a wide range of industries. Whether your organization is just getting started or already has data-driven applications in production, you'll find helpful content that will help you succeed.. Gain an understanding of the goals, challenges, and potential pitfalls of deploying analytics and AI to production Learn the best way to design, plan, and execute large data systems in production Focus on the special case of machine learning and AI in production Examine MapR, a data platform with the technical capabilities to support emerging trends for large-scale data Explore a range of design patterns that work well for production customers across various sectors Get best practices for avoiding various gotchas as you move to production
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed November 5, 2018)
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  • 86
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Electronic data processing ; Distributed processing ; Application software ; Development ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: Kubernetes is quickly changing the way organizations deliver applications. Broadly supported by the community and a growing list of vendors, this open source platform has become a core component in the digital transformation of enterprises worldwide. Getting started with this container orchestration system can be tricky, but with this practical ebook, developers and operators will learn how to use Kubernetes to deliver existing applications-or more resilient cloud-native applications-with speed and efficiency. Brad Topol, Jake Kitchener, and Michael Elder from IBM show you how to run stateful workloads on Kubernetes to transform the way you manage your core enterprise middleware. You'll also learn how to configure security policies, manage auto-scaling, and integrate storage into your cluster. If you're new to Kubernetes, you'll gain a solid understanding of the system's fundamental concepts. Experienced users will focus on ways to create enterprise quality Kubernetes applications in private, public, and hybrid cloud environments. Get started with Kubernetes and enter the brave new world of automated container deployment, scaling, and management. This ebook shows you how. Explore Kubernetes architecture, deployment options, and core concepts such as Pods, ReplicaSets, and Services Dive into advanced capabilities such as load balancing, volume support, and configuration primitives Create an example enterprise-level production application, complete with microservices, namespaces, a database, and a web frontend Learn how container images and Kubernetes support DevOps and continuous delivery principles Focus on application operations such as microservices health management and log collection and analysis Learn why hybrid cloud environments are ideal for transitioning operations from on-premises to the cloud
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 7, 2019)
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  • 87
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Artificial intelligence ; Computer networks ; Security measures ; Computer security ; Electronic books ; Electronic books ; local
    Abstract: For security professionals seeking reliable ways to combat persistent threats to their networks, there's encouraging news. Tools that employ AI and machine learning have begun to replace the older rules- and signature-based tools that can no longer combat today's sophisticated attacks. In this ebook, Oracle's Laurent Gil and Recorded Future's Allan Liska look at the strengths (and limitations) of AI- and ML-based security tools for dealing with today's threat landscape. This high-level overview demonstrates how these new tools use AI and ML to quickly identify threats, connect attack patterns, and allow operators and analysts to focus on their core mission. You'll also learn how managed security service providers (MSSPs) use AI and ML to identify patterns from across their customer base. This ebook explains: Why rules-based, signature-based, and firewall solutions have fallen short How automated bots enable cybercriminals and nation-state actors to attack your network The evolution of the botnet: how threat actors constantly change their attack strategy How AI and ML techniques in web applications help you observe, quantify, and classify inbound requests How to detect insider threats and advanced persistent threat actors with AI and ML tools Case studies that show how a media company, an airline, and a university use AL and ML in security
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 19, 2019)
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  • 88
    ISBN: 9781492039419 , 1492039411
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Web sites ; Design ; Mobile apps ; Design ; Web sites ; Security measures ; Hacking ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: In spite of the many performance optimization techniques in use today, web developers face significant loading issues, particularly on the mobile web. Fortunately, there's much more you can do to increase your conversion rate in this constantly changing web landscape. With this practical ebook, web developer and trainer Max Firtman provides the latest tips, techniques, and best practices for hacking web performance. You'll learn how to improve everything from the initial load and data transfer to resource loading and the overall user experience. You'll start by reviewing a list of basic actions you should already be using, then dive into network performance hacking techniques with HTTP/2 Push and QUIC. This ebook also provides best practices for executing mobile loading and using JavaScript frameworks. Some hacks won't require much effort to implement, while others will involve architectural changes. Discover techniques for: Hacking the initial load: Reduce redirects and implement fast rendering techniques to keep the initial load to a minimum Hacking data transfer: Use readable streams, service workers, and other techniques to increase transfer speeds Hacking resource loading: Reduce loading times by using HTTP/2 Push, modern cache control, and other tools Hacking images and animations: Learn how responsive images, increased use of SVG, and new bitmap formats can improve performance Hacking user experience performance: Keep frame rate and feedback response times consistent in every interaction
    Note: Description based on online resource; title from title page (Safari, viewed July 3, 2018)
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  • 89
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Electronic data processing ; Distributed processing ; Application software ; Development ; Open source software ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: Kubernetes has fundamentally changed the way DevOps teams create, manage, and operate container-based applications, but as with any production process, you can never provide enough security. This practical ebook walks you through Kubernetes security features-including when to use what-and shows you how to augment those features with container image best practices and secure network communication. Liz Rice from Aqua Security and Michael Hausenblas from Red Hat not only describe practical security techniques for Kubernetes but also maintain an accompanying website. Developers will learn how to build container images with security in mind, and ops folks will pick up techniques for configuring and operating a Kubernetes cluster more securely. Explore security concepts including defense in depth, least privilege, and limiting the attack surface Safeguard clusters by securing worker nodes and control plane components, such as the API server and the etcd key value store Learn how Kubernetes uses authentication and authorization to grant fine-grained access Secure container images against known vulnerabilities and abuse by third parties Examine security boundaries and policy enforcement features for running containers securely Learn about the options for handling secret information such as credentials Delve into advanced topics such as monitoring, alerting, and auditing, as well as sandboxing and runtime protection
    Note: Description based on online resource; title from title page (Safari, viewed January 17, 2019)
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  • 90
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application software ; Development ; Real-time data processing ; Computer network architectures ; Electronic books ; Electronic books ; local
    Abstract: Today's digital companies demand real-time insights and immediate action for everything from purchase to fulfillment, recommendation, and more. As a result, many organizations are adopting fast data applications to accelerate the value they extract from data as it flows into the system. With this practical ebook, you'll learn the common architectural patterns that form the foundation of successful fast data deployments. Engineers from Lightbend identify the key characteristics of fast data architectures, separate them into functional blocks, and show you how to implement those functions using components like those in the SMACK stack-Spark, Mesos, Akka, Cassandra, and Kafka, as well as others. Architects will learn how to choose, combine, and run SMACK stack technologies to build resilient, scalable, and responsive systems that your company requires. This ebook examines: The anatomy of fast data applications: the application model, streaming data sources, processing engines, and data sinks Functional composition of the SMACK stack and extensions The event backbone that connects all the major components of a fast data platform together Compute engines for transforming data into valuable insights Storage systems that form the transition between the fast data domain and client applications Patterns you can use in the data serving layer, including data-driven microservices Container orchestrators in the substrate layer that provide resources to services, frameworks, and applications
    Note: Description based on online resource; title from title page (Safari, viewed January 9, 2019)
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  • 91
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application software ; Development ; Computer networks ; Management ; Computer software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Companies that begin working with containerized applications often aren't prepared for the challenge of container networking. When you want to connect your containerized Python app to a container that has a database, you enter a domain that still demands a good deal of trial and error. This practical ebook delivers basic guidance on container networking with best practices that, until now, have been scattered throughout the web. Michael Hausenblas, a member of Red Hat's OpenShift team, provides developers, site reliability engineers, and software architects with a detailed look at the many challenges of container networking, container orchestration, and service discovery and shares several available solutions. Along the way, you'll learn the capabilities of many open source tools, including Kubernetes. Get an introduction to container networking by exploring single-host Docker networking modes Examine issues that arise when you move to multihost container networking Maintain a map of running containers and their locations with service discovery tools such as ZooKeeper and etcd Configure network interfaces in Linux containers by using plugins with the Container Network Interface (CNI) Learn how the Kubernetes orchestration system approaches container networking
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 9, 2019)
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  • 92
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Python (Computer program language) ; Machine learning ; Artificial intelligence ; Electronic books ; local ; Electronic books
    Abstract: Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 1, 2019)
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  • 93
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Computer architecture ; Computer networks ; Management ; Electronic books ; Electronic books ; local
    Abstract: There has been a recent surge in service mesh technology, with several open source options now available or in the works. For companies looking to build cloud-native applications, this dedicated infrastructure layer makes the flow of requests among microservices reliable, safe, and visible. In this ebook, George Miranda from Bouyant examines the problems that service mesh technology solves and provides pragmatic guidance for introducing it into your infrastructure. In cloud-native architectures, your network becomes the fundamental determining factor for how your applications behave at runtime. The shift to microservices solves many problems, but it also introduces a new set of reliability, performance, and security challenges inherent to managing distributed systems. A service mesh helps you wrangle that complexity by providing a uniform way to manage, monitor, and control your production applications. This ebook shows you how. Examine how the service mesh injects previously missing observability into microservice communications Use service mesh primitives to improve your application's resiliency Learn how implementing a service mesh can help secure your services Explore real use cases that demonstrate how several companies solved problems by using a service mesh Get a set of practical questions that will help you navigate the service mesh ecosystem
    Note: Description based on online resource; title from cover (Safari, viewed September 7, 2018)
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  • 94
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Web site development ; Information technology ; Management ; Web sites ; Design ; Electronic books ; Electronic books ; local
    Abstract: Among the many key performance indicators discussed in high-level executive meetings, one is rarely included: web performance. Yet, this particular metric is critical for tracking positive customer experience as well as the success of your digital transformation process. In this report, Tom Barker-Senior Director of Software Engineering and Development at Comcast-discusses concrete steps you can take as a business leader to elevate the status of web performance in your organization. Customers are ruthless when it comes to assessing sites. Even if you think your application is functioning just fine, the mere perception of poor performance will cause customers to go elsewhere. This report outlines the importance of web performance and explains how your involvement as an executive can help spark company-wide involvement in this valuable process. You'll explore how to: Set annual goals for creating and maintaining performance service-level agreements (SLAs) Identify champions in the company who can serve as grass roots organizers driving web performance Implement tactical changes to help your organization achieve web performance goals Evaluate the current performance of your application and identify areas that need improvement Invest in an application performance management (APM) platform to administer the maintenance of your SLA
    Note: Description based on online resource; title from title page (Safari, viewed January 11, 2018)
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  • 95
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Web applications ; Application software ; Development ; Cloud computing ; Electronic data processing ; Distributed processing ; Electronic books ; Electronic books ; local
    Abstract: Microservices fundamentally change the way you design enterprise software. By adding network dependencies to your application logic, you invite in a host of potential hazards that grow proportionally with the number of connections you make. With this practical ebook, DevOps teams will learn how to use the Istio service mesh to connect, manage, and secure microservices in order to create powerful cloud-native applications. Christian Posta and Burr Sutter from Red Hat introduce you to several key microservices capabilities that Istio provides on top of Kubernetes and OpenShift. You'll learn how your application can offload service discovery, load balancing, resilience, observability, and security to Istio so you can focus on differentiating business logic. You'll dive into Istio with detailed examples of: Traffic control: Examine Istio patterns including smarter canaries and dark launches Service resiliency: Discover how Istio provides load balancing, circuit breaking, and pool ejection Chaos testing: Test your system's ability to withstand turbulent conditions through fault injection Observability: Use tracing and metrics to learn the relationships between individual system components Security: Explore Istio's blacklist and whitelist security concepts
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed July 26, 2018)
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  • 96
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Product management ; Marketing ; Management ; 21st century ; Electronic books ; Electronic books ; local
    Abstract: Product management has become a critical connective role for modern organizations, from small technology startups to global corporate enterprises. And yet the day-to-day work of product management remains largely misunderstood. In theory, product management is about building products that people love. The real-world practice of product management is often about difficult conversations, practical compromises, and hard-won incremental gains. In this book, author Matt LeMay focuses on the CORE connective skills-communication, organization, research, execution-that can build a successful product management practice across industries, organizations, teams, and toolsets. For current and would-be product managers, this book explores: Real-world tactics for facilitating collaboration and communication How to talk to users and work with executives The importance of setting clear and actionable goals Using roadmaps to connect and align your team A values-first approach to implementing Agile practices Stories that convey realities of product management in the field Common behavioral traps that turn good product managers bad
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed November 17, 2017)
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  • 97
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application program interfaces (Computer software) ; Application software ; Development ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: If your organization is preparing to move toward a cloud-native computing architecture, this cookbook shows you how to successfully use Kubernetes, the de-facto standard for automating the deployment, scaling, and management of containerized applications. With more than 80 proven recipes, developers, system administrators, and architects will quickly learn how to get started with Kubernetes and understand its powerful API. Through the course of the book, authors Sébastien Goasguen and Michael Hausenblas provide several detailed solutions for installing, interacting with, and using Kubernetes in development and production. You'll learn how to adapt the system to your particular needs and become familiar with the wider Kubernetes ecosystem. Each standalone chapter features recipes written in O'Reilly's popular problem-solution-discussion format. Recipes in this cookbook focus on: Creating a Kubernetes cluster Using the Kubernetes command-line interface Managing fundamental workload types Working with services Exploring the Kubernetes API Managing stateful and non-cloud native apps Working with volumes and configuration data Cluster-level and application-level scaling Securing your applications Monitoring and logging Maintenance and troubleshooting
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed March 6, 2018)
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  • 98
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Service-oriented architecture (Computer science) ; Application software ; Development ; Data mining ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Why have stream-oriented data systems become so popular, when batch-oriented systems have served big data needs for many years? In the updated edition of this report, Dean Wampler examines the rise of streaming systems for handling time-sensitive problems-such as detecting fraudulent financial activity as it happens. You'll explore the characteristics of fast data architectures, along with several open source tools for implementing them. Batch processing isn't going away, but exclusive use of these systems is now a competitive disadvantage. You'll learn that, while fast data architectures using tools such as Kafka, Akka, Spark, and Flink are much harder to build, they represent the state of the art for dealing with mountains of data that require immediate attention. Learn how a basic fast data architecture works, step-by-step Examine how Kafka's data backplane combines the best abstractions of log-oriented and message queue systems for integrating components Evaluate four streaming engines, including Kafka Streams, Akka Streams, Spark, and Flink Learn which streaming engines work best for different use cases Get recommendations for making real-world streaming systems responsive, resilient, elastic, and message driven Explore an example IoT streaming application that includes telemetry ingestion and anomaly detection
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 30, 2019)
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  • 99
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Python (Computer program language) ; Go (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Comparing Python with Go is a bit like comparing an SUV with a sports car: they were created to serve different needs. Thanks to their simple syntax and careful design, you will probably find Python and Go easier to learn and use than other mainstream languages that you might have already studied. Given their gentle learning curve and phenomenal growth in several fields, getting to know them is a sound investment now.
    Note: Description based on online resource; title from title page (Safari, viewed July 11, 2018)
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  • 100
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Firewalls (Computer security) ; Application software ; Development ; Computer networks ; Security measures ; Internet ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: Firewalls have traditionally focused on network traffic, but with the advent of cloud computing and DevOps, security and operations professionals need a more sophisticated solution to track session state and application layer activity. In this ebook, cyber security consultant Chad Russell covers the current application threat landscape for modern deployment architectures, and explains the evolution of web application firewall (WAF) technologies for countering these attacks. Developers today increasingly rely on third-party libraries for application development, but many of these libraries include vulnerabilities that attackers actively exploit. With this ebook, you'll explore the specifics of WAF functionality for filtering, monitoring, and blocking HTTP traffic to and from a web application, and learn how to incorporate WAFs into existing and planned infrastructure, whether it's a cloud, on-premise, or hybrid deployment. You'll examine: The Top 10 application layer attacks compiled by the Open Web Application Security Project (OWASP) Security vulnerabilities, including business logic attacks, distributed denial of service, online fraud, social engineering, and malware WAF core and emergent capabilities, such as XSS and sessions attack protection, SIEM integration, and malware inspection and sandboxing Security solutions and technologies that work with WAF, including API gateways, and data loss prevention solutions
    Note: Description based on online resource; title from title page (Safari, viewed January 14, 2019)
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