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  • Sebastopol, CA : O'Reilly Media  (1,035)
  • Basingstoke [u.a.] : Palgrave Macmillan
  • London [u.a.] : Tauris
  • Electronic books  (1,189)
  • Politik  (113)
  • Europa  (111)
Datasource
Material
Language
Years
Author, Corporation
Publisher
Keywords
Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    Cloud native DevOps with Kubernetes : building, deploying, and scaling modern applications on Kubernetes in the cloud (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Practical cloud security : a guide for secure design and deployment (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492037507/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Feature flag best practices : advanced tips for product delivery teams (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492050452/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Strategic writing for UX : drive engagement, conversion, and retention with every word (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Mastering collaboration : make working together less painful and more productive (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492041726/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Preparing for your migration to the cloud : 7 steps to success (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492038832/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Getting started with Knative : building modern serverless workloads on Kubernetes (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492047025/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Deep learning for the life sciences : applying deep learning to genomics, microscopy, drug discovery, and more (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    Programming TypeScript : making your JavaScript applications scale (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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    Online Resource
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  • 10
    Online Resource
    Online Resource
    Python for finance : mastering data-driven finance (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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  • 11
    Online Resource
    Online Resource
    Stream processing with Apache Spark : mastering structured streaming and Spark streaming (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781491944233/?ar
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    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    Empathy at work (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492050483/?ar
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  • 13
    Online Resource
    Online Resource
    Financial governance for data processing in the cloud : managing costs while democratizing data at scale (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492049760/?ar
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  • 14
    Online Resource
    Online Resource
    Fighting financial crimes with artificial intelligence (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492052678/?ar
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  • 15
    Online Resource
    Online Resource
    Kubernetes patterns : reusable elements for designing cloud-native applications (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492050278/?ar
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  • 16
    Online Resource
    Online Resource
    Data science from scratch : first principles with Python (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492041122/?ar
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  • 17
    Online Resource
    Online Resource
    Data science and engineering at enterprise scale : notebook-driven results and analysis (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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  • 18
    Online Resource
    Online Resource
    Agile for everybody : creating fast, flexible, and customer-first organizations (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492033509/?ar
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  • 19
    Online Resource
    Online Resource
    Emotionally intelligent design : rethinking how we create products (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781491953136/?ar
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    Chaos engineering observability : bringing chaos experiments into system observability (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492051046/?ar
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  • 21
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    D3 for the impatient : interactive graphics for programmers and scientists (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492046783/?ar
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  • 22
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    What is cloud native? (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492055136/?ar
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  • 23
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    Stream processing with Apache Flink : fundamentals, implementation, and operation of streaming applications (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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  • 24
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    An introduction to regular expressions : decoding simple regex features to match complex text patterns (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492082569/?ar
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  • 25
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    What is the cloud? (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492052913/?ar
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    Hybrid and multicloud solutions (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492047223/?ar
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  • 27
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    Creating augmented and virtual realities : theory and practice for next-generation spatial computing (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492044185/?ar
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    Design for how people think : using brain science to build better products (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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    Windows 10 May 2019 update : the missing manual (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492057284/?ar
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    R graphics cookbook : practical recipes for visualizing data (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781491978597/?ar
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    Data engineers vs. data scientists : how misconceptions of data roles can hurt teams and compromise productivity (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492082491/?ar
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    Graph algorithms : practical examples in Apache Spark and Neo4j (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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    Future of the firm (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492053859/?ar
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    Modern defense in depth : an integrated approach to better web application security (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492050360/?ar
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    Cybersecurity Ops with bash : attack, defend, and analyze from the command line (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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    Data lake maturity model : charting a course for data success (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781491996560/?ar
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    Natural language processing with PyTorch : build intelligent language applications using deep learning (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781491978221/?ar
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    Fifty years of data management and beyond (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492057512/?ar
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    Think Julia : how to think like a computer scientist (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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:
    ST 250
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492045021/?ar
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    Fundamentals of data visualization : a primer on making informative and compelling figures (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492031079/?ar
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    Laravel : up & running : a framework for building modern PHP apps (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492041207/?ar
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    Unity game development cookbook : essentials for every game (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781491999141/?ar
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    Head first Go (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781491969540/?ar
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    Microsoft Azure IaaS solutions : deploying and managing the Azure IaaS Platform (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Windows Azure ; Cloud computing ; Service-oriented architecture (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Get a handy guide to powerful core offerings on the Microsoft Azure public cloud platform. Eric Wright, technology evangelist at Turbonomic, leads systems administrators and architects though common terms, design patterns, and specific examples of how to deploy Azure infrastructure-as-a-service (IaaS) solutions for compute, network, and storage. By the end of this ebook, you'll be able to manage your Azure IaaS solution, including virtual machines and storage, using both the Azure CLI and the Azure Portal interface. You'll understand the implications and requirements for security, identity, and access management. This guide also includes in-depth resources for exploring the services and technical examples further. Additional information, code samples, and reading links are available online. Deploy an Azure virtual machine and learn how it compares to on-premises virtualization Learn architectural features of the Azure cloud, such as geographic regions, availability zones, and service-level agreements Explore Azure storage basics, including tiers, features, resiliency options, and capabilities Delve into deployment patterns and replication options for increasing the availability and recoverability of Azure storage workloads Examine how Azure handles identity and access management, such as providing or preventing access to resources Learn how networking on Azure enables connectivity and security throughout its variety of services and across all regions and availability zones
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed November 29, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492045151/?ar
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  • 45
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    Security with AI and machine learning : using advanced tools to improve application security at the edge (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492043133/?ar
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    The enterprise path to service mesh architecture : decoupling at layer 5 (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer networks ; Management ; Computer architecture ; Electronic books ; Electronic books ; local
    Abstract: Whether you're preparing to build microservice-architected, cloud-native applications or looking to modernize your existing set of application services, you may want to consider using a service mesh. The more services your enterprise manages, the more intense your headaches are likely to be. This practical ebook explains how a service mesh provides a configurable infrastructure layer that makes service-to-service communication flexible, reliable, and fast. Author Lee Calcote, Head of Technology Strategy at SolarWinds, demonstrates how service meshes work and provides a path to help you build or convert applications using this architecture. This ebook is ideal for developers, operators, architects, and IT leaders tasked with building distributed systems. You'll learn how service meshes function with other technologies in your stack as well as how to overcome issues that may arise. You'll explore: Service mesh concepts, architecture, and components, such as control planes and data planes How a service mesh provides visibility, resiliency, traffic, and security control of distributed application services Differences among service meshes and service mesh components from Istio, Linkerd, Envoy, Conduit, and Consul Connect How service meshes compare to related technologies, including container orchestrators, API gateways, and client-side libraries Practical steps for service mesh adoption, deployment, customization, and integration
    Note: Description based on online resource; title from title page (viewed November 7, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492041795/?ar
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    IPhone : the missing manual (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492040439/?ar
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    What is AI? (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492039723/?ar
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    Hacking web performance : moving beyond the basics of web performance optimization (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492039426/?ar
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    Effective feature management : releasing and operating software in the age of continuous delivery (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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: Feature flags give software organizations the power to reduce risk, iterate more quickly, and gain more control. This practical ebook explains how feature flags let you decouple feature rollout from code deployment-so you can control who sees what when, independent of release. John Kodumal, cofounder and CTO of the leading feature management platform LaunchDarkly, shows you how feature flags fit into your process, including how to combine them with blue-green deployments and branching. Ideal for developers, ops personnel, designers, product managers, and marketers, this guide teaches you how feature flags can unlock the true power of your software and enable you to deliver better results for your customers. You'll learn: How feature flags provide a decision point in your code that can change the behavior of your application Feature management use cases, including progressive delivery, infrastructure migrations, and experimentation and testing Best practices for incorporating feature management into your development process Requirements and considerations for selecting an enterprise-grade feature management platform How companies already using feature flags can apply advanced use cases, such as database migration
    Note: Description based on online resource; title from title page (Safari, viewed March 28, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492038177/?ar
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    Load balancing in the cloud : practical solutions with NGINX and AWS (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Electronic data processing ; Distributed processing ; Web services ; Electronic books ; Electronic books ; local
    Abstract: Use of redundant servers has long been a solution for meeting sudden spikes in demand, machine failures, and outages. Cloud services greatly reduce the cost and hassle of provisioning redundant equipment and load balancers and give you the ability to deal with separate network, application, and client-side loads. But today there are many options to consider, and you have to determine which cloud service (or services) will meet your company's unique needs. With this ebook, author Derek DeJonghe from RightBrain Networks delivers a practical guide to load balancing services in the cloud. In this dynamic environment, where machines are frequently provisioned and decommissioned to meet user demand, you need a load balancer that can intelligently distribute traffic. This ebook walks you through the several options, including the use of the NGINX software load balancer. Learn how load balancing capabilities have evolved in just the past few years Explore the features, portability, and scaling capacity of the NGINX software load balancer Learn solutions for automating load balancing over autoscaling applications Understand the advantages of using AWS's Network Load Balancer with NGINX Learn ways to monitor the AWS Network Load Balancer as well as NGINX and NGINX Plus deployments Use common practices for scaling and securing your application through infrastructure management practices and the NGINX Controller
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed July 24, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492038009/?ar
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    Container networking : from Docker to Kubernetes (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492036845/?ar
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    Modernizing cybersecurity operations with machine intelligence : advanced threat detection, hunting, and analysis (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer networks ; Security measures ; Machine learning ; Computer crimes ; Prevention ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Adversaries and hackers have gained significant and distinct advantages in cyber warfare today. Creative, fast, and opportunistic attackers have created an ecosystem of advanced persistent threats that is growing in scale and complexity, and evolving more rapidly than our capabilities to respond. By integrating machine intelligence (MI), you can significantly modernize your organization's security operations to better keep pace with these threats. With this ebook, Peter Guerra and Paul Tamburello-chief executives at Booz Allen Hamilton-provide examples to show you how MI can change cybersecurity operations to be more effective and efficient in threat detection, monitoring, and risk analysis. Applying MI to automate cybersecurity processes will enable swifter and more accurate identification of new and emerging threats in this continually changing landscape. Attacks are only likely to increase in size and frequency across companies, institutions, and government agencies. This ebook demonstrates a powerful tool that can help you level the playing field. You will learn: The scope of the existing threat landscape, and benefits of applying MI to cybersecurity What machine intelligence can and cannot do when applied to cybersecurity Specific security applications of machine intelligence in the real world How to address your organization's maturity and readiness for cybersecurity with MI The first steps for moving ahead with MI security in your organization How to overcome difficulties and challenges when adopting machine intelligence
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492035992/?ar
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    Prometheus up & running : infrastructure and application performance monitoring (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492034131/?ar
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    How a multi-cloud strategy enables digital transformation (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Having spent an estimated $1.2 trillion in 2017 alone, industries today are investing heavily in digital transformation technologies. Cloud providers are a key part of the investment, but many companies are finding that no single provider can meet the specific needs of every business. In this article, author Maliha Balala explains how a growing number of companies are covering all the bases by engaging more than one cloud provider. By choosing a multi-cloud approach, you can mix and match technologies and services from different providers to create the best possible solution for your company. Whether you want to spread workloads and data across multiple cloud platforms, mitigate risk, or enable specific business units to choose their ideal cloud service, this article shows you how this approach can help you migrate from your old model of customer engagement to a newer, digital-based strategy.
    Note: Description based on online resource; title from title page (Safari, viewed February 19, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492033653/?ar
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    An introduction to machine learning interpretability : an applied perspective on fairness, accountability, transparency, and explainable AI (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Innovation and competition are driving analysts and data scientists toward increasingly complex predictive modeling and machine learning algorithms. This complexity makes these models accurate but also makes their predictions difficult to understand. When accuracy outpaces interpretability, human trust suffers, affecting business adoption, regulatory oversight, and model documentation. Banking, insurance, and healthcare in particular require predictive models that are interpretable. In this ebook, Patrick Hall and Navdeep Gill from H2O.ai thoroughly introduce the idea of machine learning interpretability and examine a set of machine learning techniques, algorithms, and models to help data scientists improve the accuracy of their predictive models while maintaining interpretability. Learn how machine learning and predictive modeling are applied in practice Understand social and commercial motivations for machine learning interpretability, fairness, accountability, and transparency Explore the differences between linear models and more accurate machine learning models Get a definition of interpretability and learn about the groups leading interpretability research Examine a taxonomy for classifying and describing interpretable machine learning approaches Learn several practical techniques for data visualization, training interpretable machine learning models, and generating explanations for complex model predictions Explore automated approaches for testing model interpretability
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 17, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492033158/?ar
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    Streaming change data capture : a foundation for modern data architectures (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492032526/?ar
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    Best practices for bringing AI to the enterprise (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Artificial intelligence ; Machine learning ; Business enterprises ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: How do you determine if AI is the right solution for your business problem? This quick guide provides you with a checklist of 10 best practices for bringing AI into the enterprise. It starts with three basic questions for managers, CxOs, and engineers/architects to help determine if an AI solution might be the right choice for the problems their organizations face: Is the task genuinely data-driven? Do you have the data to perform the task? Do you need the scale that automation provides? If you answer yes to all three, these best practices can help you plan an AI effort to solve the problem. Developed by Kristian Hammond, Chief Scientist at Narrative Science and professor of Computer Science and Journalism at Northwestern University, this high-level checklist will guide you toward the development of systems that reflect your needs, are supported by the right data, and are integrated with your workflow and your people.
    Note: Description based on online resource; title from title page (Safari, viewed February 13, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492029762/?ar
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    Understanding web performance (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492029809/?ar
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    EVPN in the data center (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492029045/?ar
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    Threat hunting : a guide to proactive network defense (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer networks ; Security measures ; Computer security ; Hackers ; Electronic books ; Electronic books ; local
    Abstract: Beyond incident response and threat intelligence operations, threat hunting can provide an extra layer of defense for your company's network. In many organizations, security analysts initiate threat hunting when they spot something weird-network conditions or activity not easily explained-in an effort to catch subtle, more deeply embedded attackers. With this practical ebook, you'll explore how this method works and learn how to stage an effective threat hunting program and evaluate the results. Author Michael Collins, chief scientist for the network security and data analysis company RedJack in Washington, DC, explains why threat hunting is an ideal support for your existing security operations center. With both architecture and attacks constantly changing, proactive threat hunting will help security analysts and security managers discover how your company's assets really work. Learn about the process, goals, and benefits of threat hunting Examine your organization's readiness for threat hunting, including the resources, data, and personnel you need Delve into the process using a typical threat hunting workflow Get a brief encyclopedia of threat hunting techniques, including core concepts and situational awareness Explore resources for additional threat hunting strategies and techniques
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 8, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492028260/?ar
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  • 62
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    Distributed Denial of Service (DDoS) : practical detection and defense (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Denial of service attacks ; Internet ; Security measures ; Computer security ; Electronic books ; Electronic books ; local
    Abstract: Distributed Denial of Service (DDoS) attacks have existed for almost as long as the commercial web itself, and they remain one of the most effective ways to disrupt online services. But, since many of these attacks go undisclosed, industry collaboration on ways to combat them has been slow to emerge. This ebook provides engineers and IT managers with techniques for detecting and mitigating ongoing and potential DDoS events. Authors Rich Groves and Eric Chou explain how DDoS can disrupt services by flooding your network with traffic from many different sources, often by using a botnet. You'll learn about the people behind these attacks and their motivations-such as criminals seeking financial gain, thrill and status seekers, and angry and disgruntled users-and ways that you can thwart them. The techniques in this ebook enable small to mid-sized organizations to implement DDoS prevention measures on a budget-before the size of your infrastructure requires the services of a commercial DDoS vendor. Get an overview of DDoS, including common attacks, botnet-driven attacks, and those that take advantage of IoT devices Explore the pros and cons of current DDoS detection methods and mechanisms Study the approach to DDoS mitigation at the network and application level, including ways to combat SYN Flood and Classic Flood attacks Evaluate cloud-based DDoS detection and mitigation vendors to determine the best fit for your organization Learn how to leverage community-based systems to construct a DDoS-focused Threat Intelligence system
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed December 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492026181/?ar
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    Atomic migration strategy for web teams (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Web applications ; Application software ; Development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: How do you turn an application riddled with technical debt into a scalable codebase that's beautiful, clean, and productive? With this practical ebook, Harrison Harnisch and Katie Womersley of the Buffer social media management platform show you how to successfully rewrite and migrate your application using Atomic Design. In the process, you'll discover how breaking your application into basic components makes a rewrite much more efficient. Atomic Design, created by web designer and consultant Brad Frost, is a system for working with the fundamental building blocks-the atoms-of modern web interfaces. This guide provides hands-on instructions for stitching these simple components together to rewrite your application in a low-risk and nondisruptive way. While the ebook's examples focus on migrating a frontend application, you can also use these techniques for mobile and backend applications. Determine if your existing application requires a rewrite Explore how the Atomic Design system breaks up complex interfaces into discrete pieces that you can focus on one at a time Learn when to perform a synchronous versus an asynchronous code migration Get step-by-step instructions for using Atomic Design to perform an asynchronous rewrite Build a compelling business case for rewriting your application, and structure a team for undertaking the project
    Note: Description based on online resource; title from title page (Safari, viewed July 23, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491999950/?ar
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    Fast data use cases for telecommunications : how fast data can help telcos virtualize, monetize, and deal with the data deluge (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Big data ; Streaming technology (Telecommunications) ; Internet of things ; Application software ; Development ; Storage area networks (Computer networks) ; Business enterprises ; Computer networks ; Electronic books ; Electronic books ; local
    Abstract: Telecommunications networks have always generated data at line speed, but with the massive increase in streaming data these service providers now handle, telcos have to process and act on data in milliseconds. Fast data-not just big data-is the future of telco. This report examines several use cases that illustrate telco's increasing need for fast data in operational and business support (OSS and BSS) systems, flexible NFV and 5G architectures, subscription services, and IoT devices. You'll explore case studies involving VoltDB, an in-memory, NewSQL database popular with telcos for its ability to handle the speed and scale of fast data. This report reflects the experiences of VoltDB engineers and their telco customers-Openet, Nokia, Emagine International, and Nimble Storage-that recently deployed flexible, cost-effective fast-data solutions. Discover how: Fast-data systems ingest, analyze, act upon, and export data while meeting stringent non-functional requirements Openet evolved its mediation product with a VoltDB system to process 1 trillion real-time events per day Nokia seamlessly transitioned to NFV and SDN to deliver converged broadband and IoT communication Emagine used VoltDB to provide real-time analysis of network subscriber data based on event triggers Nimble upgraded its predictive analytics platform to predict, diagnose, and prevent performance problems in IoT storage arrays
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed December 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491998267/?ar
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    Deep learning cookbook : practical recipes to get started quickly (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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: Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you'll learn how to solve deep-learning problems for classifying and generating text, images, and music. Each chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if you're stuck. Examples are written in Python with code available on GitHub as a set of Python notebooks. You'll learn how to: Create applications that will serve real users Use word embeddings to calculate text similarity Build a movie recommender system based on Wikipedia links Learn how AIs see the world by visualizing their internal state Build a model to suggest emojis for pieces of text Reuse pretrained networks to build an inverse image search service Compare how GANs, autoencoders and LSTMs generate icons Detect music styles and index song collections
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491995839/?ar
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    Machine learning with Python cookbook : practical solutions from preprocessing to deep learning (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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    Cloud native infrastructure : patterns for scalable infrastructure and applications in a dynamic environment (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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    Introducing GitHub : a non-technical guide (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Application software ; Development ; Computer software ; Development ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: If you're new to GitHub, this concise book shows you just what you need to get started and no more. It's perfect for project and product managers, stakeholders, and other team members who want to collaborate on a development project-whether it's to review and comment on work in progress or to contribute specific changes. It's also great for developers just learning GitHub. GitHub has rapidly become the default platform for software development, but it's also ideal for other text-based documents, from contracts to screenplays. This hands-on book shows you how to use GitHub's web interface to view projects and collaborate effectively with your team. The updated second edition covers code review, and includes updates to the desktop application, the Atom text editor, protected branches, and project management features. Keep track of, and work with, developers more effectively Learn the basics so you can contribute to your software projects Understand foundational Git knowledge, including commits and cloning Get tips on positive interaction with developers
    Note: Includes index. - Description based on online resource; title from title page (viewed January 5, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491981801/?ar
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    Learning PHP, MySQL & JavaScript : with JQuery, CSS & HTML5 (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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    Learning web design : a beginner's guide to HTML, CSS, JavaScript, and web graphics (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fifth edition.
    Keywords: Web sites ; Design ; Handbooks, manuals, etc ; HTML (Document markup language) ; Handbooks, manuals, etc ; XHTML (Document markup language) ; Handbooks, manuals, etc ; Cascading style sheets ; Electronic books ; local ; Electronic books
    Abstract: Do you want to build web pages but have no prior experience? This friendly guide is the perfect place to start. You'll begin at square one, learning how the web and web pages work, and then steadily build from there. By the end of the book, you'll have the skills to create a simple site with multicolumn pages that adapt for mobile devices. Each chapter provides exercises to help you learn various techniques and short quizzes to make sure you understand key concepts. This thoroughly revised edition is ideal for students and professionals of all backgrounds and skill levels. It is simple and clear enough for beginners, yet thorough enough to be a useful reference for experienced developers keeping their skills up to date. Build HTML pages with text, links, images, tables, and forms Use style sheets (CSS) for colors, backgrounds, formatting text, page layout, and even simple animation effects Learn how JavaScript works and why the language is so important in web design Create and optimize web images so they'll download as quickly as possible NEW! Use CSS Flexbox and Grid for sophisticated and flexible page layout NEW! Learn the ins and outs of Responsive Web Design to make web pages look great on all devices NEW! Become familiar with the command line, Git, and other tools in the modern web developer's toolkit NEW! Get to know the super-powers of SVG graphics
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed June 19, 2018)
    URL: lizenzpflichtig
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    Feature engineering for machine learning : principles and techniques for data scientists (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features-the numeric representations of raw data-into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering. Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples. You'll examine: Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms Natural text techniques: bag-of-words, n-grams, and phrase detection Frequency-based filtering and feature scaling for eliminating uninformative features Encoding techniques of categorical variables, including feature hashing and bin-counting Model-based feature engineering with principal component analysis The concept of model stacking, using k-means as a featurization technique Image feature extraction with manual and deep-learning techniques
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491953235/?ar
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    CSS : the definitive guide : visual presentation for the web (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fourth edition.
    Keywords: Cascading style sheets ; Web sites ; Design ; Electronic books ; Electronic books ; local
    Abstract: If you're a web designer or app developer interested in sophisticated page styling, improved accessibility, and saving time and effort, this book is for you. This revised edition provides a comprehensive guide to CSS implementation, along with a thorough review of the latest CSS specifications. CSS is a constantly evolving language for describing the presentation of web content on screen, printers, speech synthesizers, screen readers, and chat windows. It is used by all browsers on all screen sizes on all types of IoT devices, including phones, computers, video games, televisions, watches, kiosks, and auto consoles. Authors Eric Meyer and Estelle Weyl show you how to improve user experience, speed development, avoid potential bugs, and add life and depth to your applications through layout, transitions and animations, borders, backgrounds, text properties, and many other tools and techniques. This guide covers: Selectors, specificity, and the cascade Values, units, fonts, and text properties Padding, borders, outlines, and margins Colors, backgrounds, and gradients Floats and positioning tricks Flexible box layout The new Grid layout system 2D and 3D transforms, transitions, and animation Filters, blending, clipping, and masking Media and feature queries
    Note: Previous edition published: 2006. - Includes index. - Description based on online resource; title from title page (Safari, viewed October 20, 2017)
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    Fast data architectures for streaming applications : getting answers now from data sets that never end (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492046820/?ar
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    AI and analytics in production : how to make it work (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492044116/?ar
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    Building products for the enterprise : product management in enterprise software (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Information technology ; Management ; Business enterprises ; Data processing ; Application software ; Development ; Product management ; Electronic books ; Electronic books ; local
    Abstract: If you're new to software product management or just want to learn more about it, there's plenty of advice available-but most of it is geared toward consumer products. Creating high-quality software for the enterprise involves a much different set of challenges. In this practical book, two expert product managers provide straightforward guidance for people looking to join the thriving enterprise market. Authors Blair Reeves and Benjamin Gaines explain critical differences between enterprise and consumer products, and deliver strategies for overcoming challenges when building for the enterprise. You'll learn how to cultivate knowledge of your organization, the products you build, and the industry you serve. Explore why: Identifying customer vs user problems is an enterprise project manager's main challenge Effective collaboration requires in-depth knowledge of the organization Analyzing data is key to understanding why users buy and retain your product Having experience in the industry you're building products for is valuable Product longevity depends on knowing where the industry isheaded
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed March 30, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492024774/?ar
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    Kubernetes in the enterprise : deploying and operating production applications on Kubernetes in hybrid cloud environments (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492043270/?ar
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  • 77
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    Five principles for deploying and managing Linux in the cloud : with Azure (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Linux ; Windows Azure ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: A successful migration to the cloud can have a positive impact on the cost, ease of access, maintenance, scalability, elasticity, and versatility of your IT infrastructure. But the migration process itself can be demanding. In this practical ebook, author Sam Alapati examines five principles for deploying and managing your Linux-based system in the cloud. There are many half-baked truths and pitfalls in cloud computing, and without thorough assessments and planning, your migration can lead to excessive costs in time and money. Using examples from Azure Cloud Services and other providers, this ebook demonstrates best practices for moving your system out of your data center and into the cloud. DevOps engineers and system administrators also get a detailed overview of the various types of cloud services and deployments available. By learning these five cloud migration principles, your team will be able to: Assess and identify which Linux virtual machines are adaptable in the cloud Determine and plan for your workload's level of availability for new deployments Monitor your applications running on Linux across the entire stack Ensure your Linux virtual machines are secure and backed up Govern your cloud environment using policy management best practices
    Note: Description based on online resource; title from title page (Safari, viewed January 18, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492040934/?ar
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  • 78
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    Flask web development : developing web applications with Python (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Web applications ; Application software ; Development ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Take full creative control of your web applications with Flask, the Python-based microframework. With the second edition of this hands-on book, you'll learn the framework from the ground up by developing, step-by-step, a real-world project created by author Miguel Grinberg. This refreshed edition accounts for important technology changes that have occurred in the past three years. You'll learn the framework's core functionality, as well as how to extend applications with advanced web techniques such as database migration and web service communication. The first part of each chapter provides you with reference and background for the topic in question, while the second part guides you though a hands-on implementation of the topic. If you have Python experience, this book shows you how to take advantage of the creative freedom Flask provides.
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed March 19, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491991725/?ar
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  • 79
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    Introducing Istio service mesh for microservices : build and deploy resilient, fault-tolerant cloud-native applications (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781491988770/?ar
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  • 80
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    Product management in practice : a real-world guide to the key connective role of the 21st century (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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  • 81
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    Kubernetes cookbook : building cloud-native applications (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781491979679/?ar
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  • 82
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    Escaping the build trap : how effective product management creates real value (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Product management ; Customer relations ; Management ; Electronic books ; Electronic books ; local
    Abstract: To stay competitive in today's market, organizations need to adopt a culture of customer-centric practices that focus on outcomes rather than outputs. Companies that live and die by outputs often fall into the "build trap," cranking out features to meet their schedule rather than the customer's needs. In this book, Melissa Perri explains how laying the foundation for great product management can help companies solve real customer problems while achieving business goals. By understanding how to communicate and collaborate within a company structure, you can create a product culture that benefits both the business and the customer. You'll learn product management principles that can be applied to any organization, big or small. In five parts, this book explores: Why organizations ship features rather than cultivate the value those features represent How to set up a product organization that scales How product strategy connects a company's vision and economic outcomes back to the product activities How to identify and pursue the right opportunities for producing value through an iterative product framework How to build a culture focused on successful outcomes over outputs
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed January 7, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491973783/?ar
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    Deploying to OpenShift : a guide for busy developers (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781491957158/?ar
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    Programming Rust : fast, safe systems development (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Programming languages (Electronic computers) ; Computer programming ; Electronic books ; Electronic books ; local
    Abstract: Rust is a new systems programming language that combines the performance and low-level control of C and C++ with memory safety and thread safety. Rust's modern, flexible types ensure your program is free of null pointer dereferences, double frees, dangling pointers, and similar bugs, all at compile time, without runtime overhead. In multi-threaded code, Rust catches data races at compile time, making concurrency much easier to use. Written by two experienced systems programmers, this book explains how Rust manages to bridge the gap between performance and safety, and how you can take advantage of it. Topics include: How Rust represents values in memory (with diagrams) Complete explanations of ownership, moves, borrows, and lifetimes Cargo, rustdoc, unit tests, and how to publish your code on crates.io, Rust's public package repository High-level features like generic code, closures, collections, and iterators that make Rust productive and flexible Concurrency in Rust: threads, mutexes, channels, and atomics, all much safer to use than in C or C++ Unsafe code, and how to preserve the integrity of ordinary code that uses it Extended examples illustrating how pieces of the language fit together
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed January 5, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491927274/?ar
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    Threat intelligence in practice : a practical guide to threat intelligence from successful organizations (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492049302/?ar
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    Building a modern security program : adapting security for DevOps and cloud (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492044680/?ar
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    Continuous delivery in Java : essential tools and best practices for deploying code to production (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application software ; Development ; Automation ; Java (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Continuous delivery adds enormous value to the business and the entire software delivery lifecycle, but adopting this practice means mastering new skills typically outside of a developer's comfort zone. In this practical book, Daniel Bryant and Abraham Marín-Pérez provide guidance to help experienced Java developers master skills such as architectural design, automated quality assurance, and application packaging and deployment on a variety of platforms. Not only will you learn how to create a comprehensive build pipeline for continually delivering effective software, but you'll also explore how Java application architecture and deployment platforms have affected the way we rapidly and safely deliver new software to production environments. Get advice for beginning or completing your migration to continuous delivery Design architecture to enable the continuous delivery of Java applications Build application artifacts including fat JARs, virtual machine images, and operating system container (Docker) images Use continuous integration tooling like Jenkins, PMD, and find-sec-bugs to automate code quality checks Create a comprehensive build pipeline and design software to separate the deploy and release processes Explore why functional and system quality attribute testing is vital from development to delivery Learn how to effectively build and test applications locally and observe your system while it runs in production
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed November 28, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491986011/?ar
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    TensorFlow for deep learning : from linear regression to reinforcement learning (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781491980446/?ar
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    Seeking SRE : conversations about running production systems at scale (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Information technology ; Management ; Reliability (Engineering) ; Computer engineering ; Electronic books ; Electronic books ; local
    Abstract: Organizations big and small have started to realize just how crucial system and application reliability is to their business. They've also learned just how difficult it is to maintain that reliability while iterating at the speed demanded by the marketplace. Site Reliability Engineering (SRE) is a proven approach to this challenge. SRE is a large and rich topic to discuss. Google led the way with Site Reliability Engineering , the wildly successful O'Reilly book that described Google's creation of the discipline and the implementation that's allowed them to operate at a planetary scale. Inspired by that earlier work, this book explores a very different part of the SRE space. The more than two dozen chapters in Seeking SRE bring you into some of the important conversations going on in the SRE world right now. Listen as engineers and other leaders in the field discuss: Different ways of implementing SRE and SRE principles in a wide variety of settings How SRE relates to other approaches such as DevOps Specialties on the cutting edge that will soon be commonplace in SRE Best practices and technologies that make practicing SRE easier The important but rarely explored human side of SRE David N. Blank-Edelman is the book's curator and editor.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed September 7, 2018)
    URL: lizenzpflichtig
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    Practical monitoring : effective strategies for the real world (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer networks ; Monitoring ; Information technology ; Management ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: Do you have a nagging feeling that your monitoring needs improvement, but you just aren't sure where to start or how to do it? Are you plagued by constant, meaningless alerts? Does your monitoring system routinely miss real problems? This is the book for you. Mike Julian lays out a practical approach to designing and implementing effective monitoring-from your enterprise application down to the hardware in a datacenter, and everything between. Practical Monitoring provides you with straightforward strategies and tactics for designing and implementing a strong monitoring foundation for your company. This book takes a unique vendor-neutral approach to monitoring. Rather than discuss how to implement specific tools, Mike teaches the principles and underlying mechanics behind monitoring so you can implement the lessons in any tool. Practical Monitoring covers essential topics including: Monitoring antipatterns Principles of monitoring design How to build an effective on-call rotation Getting metrics and logs out of your application
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed November 17, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781491957349/?ar
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    Network programmability and automation : skills for the next-generation network engineer (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer networks ; Management ; Scripting languages (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Like sysadmins before them, network engineers are finding that they cannot do their work manually anymore. As the field faces new protocols, technologies, delivery models, and a pressing need for businesses to be more agile and flexible, network automation is becoming essential. This practical guide shows network engineers how to use a range of technologies and tools-including Linux, Python, JSON, and XML-to automate their systems through code. Network programming and automation will help you simplify tasks involved in configuring, managing, and operating network equipment, topologies, services, and connectivity. Through the course of the book, you'll learn the basic skills and tools you need to make this critical transition. This book covers: Python programming basics: data types, conditionals, loops, functions, classes, and modules Linux fundamentals to provide the foundation you need on your network automation journey Data formats and models: JSON, XML, YAML, and YANG for networking Jinja templating and its applicability for creating network device configurations The role of application programming interfaces (APIs) in network automation Source control with Git to manage code changes during the automation process How Ansible, Salt, and StackStorm open source automation tools can be used to automate network devices Key tools and technologies required for a Continuous Integration (CI) pipeline in network operations
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed February 12, 2018)
    URL: lizenzpflichtig
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    Foundations for architecting data solutions : managing successful data projects (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: lizenzpflichtig
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    Achieving real business outcomes from artificial intelligence : enterprise considerations for AI initiatives (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492038214/?ar
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    Great customer experience starts with product management (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Customer services ; Consumer satisfaction ; Product management ; Electronic books ; Electronic books ; local
    Abstract: From a customer's standpoint, every interaction with a product or brand is just part of a connected experience. But for many companies, individual touchpoints, channels, and products are often treated as disconnected silos. How can your organization connect and align internal stakeholders around specific goals to provide customers with a positive and consistent experience? In this article, Matt LeMay-author of Product Management in Practice -explains how an effective product manager can make those connections by posing questions that designers and developers, sales and marketing teams, and business analysts don't have the time or inclination to ask. You'll explore how product managers serve as the "voice of the customer" on a product team, making sure that technical and business decisions are informed by customer needs and goals.
    Note: Description based on online resource; title from title page (Safari, viewed February 22, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492036128/?ar
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  • 95
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    Online Resource
    Machine learning is changing the rules : ways business can utilize AI to innovate (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Artificial intelligence ; Business enterprises ; Technological innovations ; Electronic books ; Electronic books ; local
    Abstract: We live in a time of massive market disruption. On top of the long-running computer revolution, the business world is now faced with artificial intelligence, machine learning, and deep learning-part of the emerging fourth industrial revolution. This in-depth ebook provides practical advice for organizations looking to launch a machine-learning initiative, and explores use cases for six industries involved in AI and machine learning today. Author Peter Morgan, CEO of Data Science Partnership, takes you through three primary requirements for machine learning: sophisticated learning algorithms, dedicated hardware, and large datasets. Companies with big data strategies have already satisfied one condition, but any organization can jump into machine learning through a variety of open source and proprietary solutions. This ebook guides you through several options. You'll explore: How machine learning is transforming healthcare, finance, transportation, computer technology, energy, and science Use cases including self-driving cars, software development, genomics, blockchains, algorithmic trading, particle physics, and data center energy management Open source datasets and proprietary data sources for organizations that don't generate their own unique data A typical data science life cycle, from data collection to production and scale Examples of commercial off-the-shelf (COTS) and open source machine-learning solutions-and the pros and cons of each Open source deep learning frameworks such as TensorFlow, MXnet, and PyTorch AI as a Service providers including AWS, Google Cloud Platform, Azure, and IBM Cloud Disruptive technologies that are just beginning to emerge
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed July 26, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492035367/?ar
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  • 96
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    Online Resource
    Managing Kubernetes : operating Kubernetes clusters in the real world (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Electronic data processing ; Distributed processing ; Application software ; Development ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: While Kubernetes has greatly simplified the task of deploying containerized applications, managing this orchestration framework on a daily basis can still be a complex undertaking. With this practical book, site reliability and DevOps engineers will learn how to build, operate, manage, and upgrade a Kubernetes cluster-whether it resides on cloud infrastructure or on-premises. Brendan Burns, cofounder of Kubernetes, and Craig Tracey, staff field engineer at Heptio, dissect how Kubernetes works internally and demonstrate ways to maintain, adjust, and improve the cluster to suit your particular use case. You'll learn how to make architectural choices for designing a cluster, managing access control, monitoring and alerting, and upgrading Kubernetes. Dive in and discover how to take full advantage of this orchestration framework's capabilities. Learn how your cluster operates, how developers use it to deploy applications, and how Kubernetes can facilitate a developer's job Adjust, secure, and tune your cluster by understanding Kubernetes APIs and configuration options Detect cluster-level problems early and learn the steps necessary to respond and recover quickly Determine how and when to add libraries, tools, and platforms that build on, extend, or otherwise improve a Kubernetes cluster
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed November 28, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492033905/?ar
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  • 97
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    Online Resource
    Python vs. Go (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492033172/?ar
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  • 98
    Online Resource
    Online Resource
    Learning Apache Drill : query and analyze distributed data sources with SQL (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Apache Hadoop ; File organization (Computer science) ; Querying (Computer science) ; SQL (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Get up to speed with Apache Drill, an extensible distributed SQL query engine that reads massive datasets in many popular file formats such as Parquet, JSON, and CSV. Drill reads data in HDFS or in cloud-native storage such as S3 and works with Hive metastores along with distributed databases such as HBase, MongoDB, and relational databases. Drill works everywhere: on your laptop or in your largest cluster. In this practical book, Drill committers Charles Givre and Paul Rogers show analysts and data scientists how to query and analyze raw data using this powerful tool. Data scientists today spend about 80% of their time just gathering and cleaning data. With this book, you'll learn how Drill helps you analyze data more effectively to drive down time to insight. Use Drill to clean, prepare, and summarize delimited data for further analysis Query file types including logfiles, Parquet, JSON, and other complex formats Query Hadoop, relational databases, MongoDB, and Kafka with standard SQL Connect to Drill programmatically using a variety of languages Use Drill even with challenging or ambiguous file formats Perform sophisticated analysis by extending Drill's functionality with user-defined functions Facilitate data analysis for network security, image metadata, and machine learning
    Note: Includes index. . - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492032786/?ar
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  • 99
    Online Resource
    Online Resource
    Web application firewalls : securing modern web applications (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781492032311/?ar
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  • 100
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    Online Resource
    C# 7.0 in a nutshell : the definitive reference (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: 7th edition.
    Series Statement: In a nutshell
    Keywords: C# (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: When you have questions about C# 7.0 or the .NET CLR and its core Framework assemblies, this bestselling guide has the answers you need. Since its debut in 2000, C# has become a language of unusual flexibility and breadth, but its continual growth means there's always more to learn. Organized around concepts and use cases, this updated edition provides intermediate and advanced programmers with a concise map of C# and .NET knowledge. Dive in and discover why this Nutshell guide is considered the definitive reference on C#. Get up to speed on the C# language, from the basics of syntax and variables to advanced topics such as pointers, operator overloading, and dynamic binding Dig deep into LINQ via three chapters dedicated to the topic Explore concurrency and asynchrony, advanced threading, and parallel programming Work with .NET features, including XML, regular expressions, networking, serialization, reflection, application domains, and security Delve into Roslyn, the modular C# 7.0 compiler-as-a-service
    Note: "Covers .NET Standard 2"--Cover. - Includes index. - Description based on online resource; title from cover (Safari, viewed October 24, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781491987643/?ar
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