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  • Sebastopol, CA : O'Reilly Media  (1,038)
  • Cheltenham, U.K : Edward Elgar  (781)
  • Electronic books  (1,816)
  • Artificial intelligence
  • Geschichte
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Publisher
Keywords
Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    Artificial intelligence with Microsoft Power BI : simpler AI for the enterprise (2024)
    Sebastopol, CA : O'Reilly Media
    Details
    ISBN: 9781098112721 , 1098112725
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 005.5/8
    Keywords: Microsoft Power BI (Computer file) ; Artificial intelligence ; Intelligence artificielle ; artificial intelligence
    Abstract: Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization. Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity. Use Power BI to build a good data model for AI Demystify the AI terminology that you need to know Identify AI project roles, responsibilities, and teams for AI Use AI models, including supervised machine learning techniques Develop and train models in Azure ML for consumption in Power BI Improve your business AI maturity level with Power BI Use the AI feedback loop to help you get started with the next project.
    URL: lizenzpflichtig
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    Online Resource
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  • 2
    Online Resource
    Online Resource
    Rethinking leadership : a new look at old leadership questions (2020)
    Cheltenham, U.K : Edward Elgar
    Details
    ISBN: 9781788119320
    Language: English
    Pages: 1 Online-Ressource (208 p)
    Edition: Second edition
    Series Statement: New horizons in leadership studies
    Series Statement: New horizons in leadership studies series
    Parallel Title: Erscheint auch als Ladkin, Donna Rethinking leadership
    RVK:
    QV 584
    RVK:
    QP 300
    Keywords: Leadership ; Leadership Philosophy ; Electronic books ; Management ; Führung ; Betriebsführung
    Abstract: A must-read for serious leadership studies scholars, Rethinking Leadership offers a radical reconceptualisation of leadership as a contextually embedded, physically embodied phenomenon. The book arrives at original and surprising answers to perennial questions such as "What is leadership?" and "How do leaders lead change?", by addressing them from a philosophical, rather than psychological or sociological standpoint
    Abstract: 1. Why study leadership from a philosophical perspective? -- 2. Why are there so many different theories of leadership? -- 3. Why is it so difficult to study leadership? -- 4. What goes on in the relationship between leaders and followers? -- 5. What is charismatic leadership? -- 6. What is so important about the "vision-thing"? -- 7. How do leaders lead change? / co-authored with Martin Wood and John Pillay -- 8. How can individuals take up the leader role wisely? -- 9. What has it meant to rethink leadership?
    Note: Includes bibliographical references and index
    DOI: 10.4337/9781788119320
    URL: Deutschlandweit zugänglich
    URL: Deutschlandweit zugänglich
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    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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  • 4
    Online Resource
    Online Resource
    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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  • 5
    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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  • 6
    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
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  • 7
    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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  • 8
    Online Resource
    Online Resource
    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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  • 9
    Online Resource
    Online Resource
    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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  • 10
    Online Resource
    Online Resource
    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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  • 11
    Online Resource
    Online Resource
    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)
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  • 12
    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
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  • 13
    Online Resource
    Online Resource
    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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  • 14
    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
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  • 15
    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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  • 16
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    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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  • 17
    Online Resource
    Online Resource
    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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  • 18
    Online Resource
    Online Resource
    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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  • 19
    Online Resource
    Online Resource
    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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  • 20
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    Online Resource
    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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    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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    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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    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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  • 24
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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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    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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    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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    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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    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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    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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    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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    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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    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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    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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    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
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    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
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    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
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    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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    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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    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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    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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    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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    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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    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
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    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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    iOS 11 programming fundamentals with Swift : Swift, Xcode, and Cocoa basics (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fourth edition.
    Keywords: iOS (Electronic resource) ; Swift (Computer program language) ; Mobile computing ; Programming ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Move into iOS development by getting a firm grasp of its fundamentals, including the Xcode 9 IDE, Cocoa Touch, and the latest version of Apple's acclaimed programming language, Swift 4. With this thoroughly updated guide, you'll learn the Swift language, understand Apple's Xcode development tools, and discover the Cocoa framework. Explore Swift's object-oriented concepts Become familiar with built-in Swift types Dive deep into Swift objects, protocols, and generics Tour the lifecycle of an Xcode project Learn how nibs are loaded Understand Cocoa's event-driven design Communicate with C and Objective-C In this edition, catch up on the latest iOS programming features. Multiline strings and improved dictionaries Object serialization Key paths and key-value observing Expanded git integration Code refactoring And more! Once you master the fundamentals, you'll be ready to tackle the details of iOS app development with author Matt Neuburg's companion guide, Programming iOS 11 .
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed October 6, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781491999301/?ar
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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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    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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    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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    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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    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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    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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    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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    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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    Designing fast data application architectures (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application software ; Development ; Real-time data processing ; Computer network architectures ; Electronic books ; Electronic books ; local
    Abstract: Today's digital companies demand real-time insights and immediate action for everything from purchase to fulfillment, recommendation, and more. As a result, many organizations are adopting fast data applications to accelerate the value they extract from data as it flows into the system. With this practical ebook, you'll learn the common architectural patterns that form the foundation of successful fast data deployments. Engineers from Lightbend identify the key characteristics of fast data architectures, separate them into functional blocks, and show you how to implement those functions using components like those in the SMACK stack-Spark, Mesos, Akka, Cassandra, and Kafka, as well as others. Architects will learn how to choose, combine, and run SMACK stack technologies to build resilient, scalable, and responsive systems that your company requires. This ebook examines: The anatomy of fast data applications: the application model, streaming data sources, processing engines, and data sinks Functional composition of the SMACK stack and extensions The event backbone that connects all the major components of a fast data platform together Compute engines for transforming data into valuable insights Storage systems that form the transition between the fast data domain and client applications Patterns you can use in the data serving layer, including data-driven microservices Container orchestrators in the substrate layer that provide resources to services, frameworks, and applications
    Note: Description based on online resource; title from title page (Safari, viewed January 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492038054/?ar
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    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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    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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    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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    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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  • 62
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    Modernizing .NET applications : a field guide for breathing new life into your software (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Microsoft .NET Framework ; Application software ; Development ; Computer software ; Development ; Electronic books ; Electronic books ; local
    Abstract: As a .NET developer, you're constantly asked to build relevant and resilient software that can run anywhere. That alone is a tall order. But you're also asked to upgrade existing .NET software to unlock new value. This practical ebook shows .NET developers and architects how to improve the most impactful parts of your existing codebase and build a sustainable process for refining your entire .NET app portfolio. Richard Seroter, senior director of product for Pivotal, explains how to responsibly modernize .NET apps so that you can consolidate your environments, add new functionality, upgrade and patch your dependencies, and automate parts of the delivery cycle. Understand the modern demands of a .NET software developer Learn how to choose between .NET Core and the .NET Framework Understand why cloud native development has become a go-to option for companies undergoing modernization Discover what you need to un learn in light of patterns and anti-patterns in new development paradigms Explore the components you may want to consider to achieve agility, scalability, and velocity Determine where you want to run different .NET application types Learn proven modernization strategies for decomposing monoliths, upgrading your architecture, and more
    Note: Description based on online resource; title from title page (viewed February 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492043607/?ar
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    Adopting InnerSource : principles and case studies (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Open source software ; Computer software ; Development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: The application of open source principles and practices to create in-house software is taking off in the corporate world. Known as InnerSource, this development strategy lets development teams collaborate and share code to speed delivery and improve quality while helping to eliminate silos and bottlenecks. With this practical ebook, you'll explore case studies from Bell Labs, PayPal, Ericsson, Nike, Bosch, and Europace that demonstrate why and how InnerSource can work in your organization. These case studies candidly discuss the difficulties of starting InnerSource projects, as well as the benefits and trials each company experienced during the process. Authors Danese Cooper and Klaas-Jan Stol also provide executives, midlevel managers, and developers with advice for choosing and structuring your first InnerSource experiment. You'll explore how: The Apache Software Foundation codified many of the best practices learned by open source developers over decades Bell Laboratories used an early InnerSource approach to implement VoIP Bosch uses InnerSource to improve collaboration among business units worldwide PayPal's Symphony module developed into the company's longest and most intentional InnerSource experiment Fintech company Europace uses InnerSource to move toward decentralized self-organization Ericsson developed its own unique InnerSource model for several projects, including a consistent user interface Nike built a reusable continuous development infrastructure using InnerSource principles
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed October 4, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492041863/?ar
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    What is product management? (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (iii, 3 pages) , illustrations
    Edition: First edition.
    Keywords: Product management ; Marketing ; Management ; 21st century ; Electronic books ; Electronic books ; local
    Abstract: In a narrow sense, product managers work with designers and developers to build and maintain a company's products. But product managers work best when they reach across organizational silos to connect internal stakeholders with your business goals-while ensuring those goals align with user needs. In this article, product management coach and consultant Matt LeMay explains why product managers are most effective when actively pursuing the critical role as "the voice of the customer" for your entire company.
    Note: Description based on online resource; title from title page (Safari, viewed May 24, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492040965/?ar
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    What is web performance? (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Web site development ; Web sites ; Design ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: How fast is your site? Web performance is crucial as your company moves toward digital transformation-not just the actual time it takes your online experience to load, but also the perception of load time for your users and customers. In this article, Comcast's Tom Barker explains how poor or inefficient web performance can affect your entire transformation process, and why you need to move this task to the top of your list.
    Note: Description based on online resource; title from title page (Safari, viewed May 10, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492039952/?ar
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    This is service design methods : a companion to this is Service design doing (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Quantitative research ; Information visualization ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: In this book, you'll find 54 hands-on descriptions that help you DO the key methods used in service design. These methods include instructions, guidelines, and tips-and-tricks for activities within research, ideation, prototyping, and facilitation. This is the print version of the method companion to the book This Is Service Design Doing (#TiSDD). It includes the same content that you can find free on the book website, tisdd.com, but nicely revisualized and presented in a professional bound format. Caveat: While methods are the building blocks of a service design process, owning a pile of bricks does not make you an architect or even a bricklayer. Success in doing service design certainly requires a mastery of these methods. However, you must also be able to combine them into a process that fits the context and needs of your organization and guide people through this new way of working. This book only contains the building blocks-the methods. It doesn't detail how to assemble them into a cohesive design process or how to plan or manage it. Neither does it describe why people should invest in service design nor explain how to bring service design to life in your organization. For all of this (and more), please read This Is Service Design Doing .
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed September 12, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492039587/?ar
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    Understanding experimentation platforms : drive smarter product designs through online controlled experiments (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application software ; Development ; Mobile apps ; Time to market (New products) ; Computer software ; Testing ; Electronic books ; Electronic books ; local
    Abstract: Thanks to approaches such as continuous integration and continuous delivery, companies that once introduced new products every six months are now shipping software several times a day. Reaching the market quickly is vital today, but rapid updates are impractical unless they provide genuine customer value. With this ebook, you'll learn how online controlled experiments can help you gain customer feedback quickly so you can maintain a speedy release cycle. Using examples from Google, LinkedIn, and other organizations, Adil Aijaz, Trevor Stuart, and Henry Jewkes from Split Software explain basic concepts and show you how to build a scalable experimentation platform for conducting full-stack, comprehensive, and continuous tests. You'll learn practical tips on best practices and common pitfalls you're likely to face along the way. This ebook is ideal for engineers, data scientists, and product managers. Build an experimentation platform that includes a robust targeting engine, a telemetry system, a statistics engine, and a management console Dive deep into types of metrics, as well as metric frameworks, including Google's HEART framework and LinkedIn's 3-tiered framework Learn best practices for an building experimentation platform, such as A/A testing, power measuring, and an optimal ramp strategy Understand common pitfalls: how users are assigned across variants and control, how data is interpreted, and how metrics impact is understood
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 29, 2019)
    URL: lizenzpflichtig
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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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    React Native cookbook : bringing the web to native platforms (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Mobile apps ; Development ; JavaScript (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Tackling an app development project on multiple platforms is no simple task. When time is in short supply and customers need access from the tap of a home screen, React Native can provide a lean development team with the tools needed to deliver a multi-platform native experience without juggling multiple programming languages and shifting code bases. React Native is an emerging technology and best practices are only beginning to bubble up. Fortunately, a growing user community-from tech giants such as Facebook, Yahoo, and Airbnb to the independent developers-is hard at work codifying patterns and best practices for how to use React Native. This cookbook is another milestone on that journey. Aimed at people with some JavaScript and web development experience, the first part of this cookbook covers some simple tips for getting started with React Native. Part 2 will cover some emerging patterns that are commonly found in most native applications.
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed February 28, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491993835/?ar
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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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    Windows 10 : the missing manual (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: Second edition.
    Series Statement: The missing manual
    Keywords: Microsoft Windows (Computer file) ; Operating systems (Computers) ; Electronic books ; Electronic books ; local
    Abstract: Windows 10 hit the scene in 2015 with an all-new web browser (Edge), the Cortana voice assistant, and universal apps that run equally well on tablets, phones, and computers. Now, the Creators Update brings refinement and polish to Windows 10-and this jargon-free guide helps you get the most out of this supercharged operating system. Windows 10: The Missing Manual covers the entire system, including all the new features, like the three-column Start menu, the extensions in the Microsoft Edge browser, Paint 3D, and live game broadcasting. You'll learn how to: Explore the desktop, including File Explorer, Taskbar, Action Center, and Cortana Work with programs and documents, Windows starter apps, the Control Panel, and 3D apps Connect with Edge and email Beef up security and privacy Set up hardware and peripherals, including tablets, laptops, hybrids, printers, and gadgets Maintain computer health with backups, troubleshooting tools, and disk management Learn about network accounts, file sharing, and setting up your own small network 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: Includes index. - Description based on online resource; title from title page (Safari, viewed July 5, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491981900/?ar
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    Jenkins 2 up and running : evolve your deployment pipeline for next-generation automation (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Jenkins (Software development tool) ; Computer software ; Quality control ; Computer software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Design, implement, and execute continuous delivery pipelines with a level of flexibility, control, and ease of maintenance that was not possible with Jenkins before. With this practical book, build administrators, developers, testers, and other professionals will learn how the features in Jenkins 2 let you define pipelines as code, leverage integration with other key technologies, and create automated, reliable pipelines to simplify and accelerate your DevOps environments. Author Brent Laster shows you how Jenkins 2 is significantly different from the more traditional, web-only versions of this popular open source automation platform. If you're familiar with Jenkins and want to take advantage of the new technologies to transform your legacy pipelines or build new modern, automated continuous delivery environments, this is your book. Create continuous delivery pipelines as code with the Jenkins domain-specific language Get practical guidance on how to migrate existing jobs and pipelines Harness best practices and new methods for controlling access and security Explore the structure, implementation, and use of shared pipeline libraries Learn the differences between declarative syntax and scripted syntax Leverage new and existing project types in Jenkins Understand and use the new Blue Ocean graphical interface Take advantage of the capabilities of the underlying OS in your pipeline Integrate analysis tools, artifact management, and containers
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed June 1, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491979587/?ar
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    Programming voice interfaces : giving connected devices a voice (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Natural language processing ; User interfaces (Computer systems) ; Internet of things ; Speech processing systems ; Electronic books ; Electronic books ; local
    Abstract: Get a step-by-step guide for developing voice interfaces for applications and devices connected to the Internet of Things. By allowing consumers to use natural human interactions, you can avoid awkward methods of input and interactivity to provide them with elevated user experiences. This practical book is ideal for software engineers who build applications for the Web, smartphones, as well as embedded systems that dominate the IoT space. Integrate voice interfaces with internet connected devices and sensors Learn how to integrate with existing voice interfaces Understand when to use a voice over other Natural User Interface technologies Build a prototype with tools such as Raspberry Pi, solderless breadboards, jumper cables, sensors, Arduino, Visual Studio, and other tools Use cloud services such as Azure and AWS to integrate voice with your existing or new web service end-points
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed October 26, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781491956052/?ar
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    Cloud migration vs. cloud native : considerations for migrating to the cloud (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: You've seen your organization's future and it clearly includes cloud computing. Question is, how do you get there? Do you migrate your existing infrastructure and services, or rebuild your technology and go cloud native? This article examines the pros and cons of each approach, and looks into non-technical considerations involving people, processes, and costs.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 16, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492033073/?ar
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    Gaining data agility with multi-model databases (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Database management ; Information technology ; Management ; Agile software development ; Electronic books ; Electronic books ; local
    Abstract: Most organizations realize that their future depends on the ability to quickly adapt to constant changes brought on by variable and complex environments. It's become increasingly clear that the core source behind these innovative solutions is data. Polyglot persistence refers to systems that provide many different types of data storage technologies to deal with this vast variability of data. Applications that need to access data from more than one store have to navigate an array of databases in a complex-and ultimately unsustainable-maze. One solution to this problem is readily available. In this ebook, consultant Joel Ruisi explains how a multi-model database enables you to take advantage of many different types of data models (and multiple schemas) in a single backend. With a multi-model database, companies can easily centralize, manage, and search all the data the IT system collects. The result is data agility : the ability to adapt to changing environments and serve users what they need when they need it. Through several detailed use cases, this ebook explains how multi-model databases enable you to: Store and manage multiple heterogeneous data sources Consolidate your data by bringing everything in "as is" Invisibly extend model features from one model to another Take a hybrid approach to analytical and operational data Enhance user search experience, including big data search Conduct queries across data models Offer SQL without relational constraints
    Note: Description based on online resource; title from title page (Safari, viewed January 8, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492032946/?ar
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    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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    The automated traffic handbook : managing spiders, bots, scrapers, and other non-human traffic (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Web site development ; Web sites ; Access control ; Application software ; Development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Automated traffic is a major factor in the modern internet, especially for website owners. Bots, spiders, and scrapers now exceed the amount of traffic from human users, and this trend is expected to continue in the number and sophistication of bot types. With this handbook, Intechnica co-founder Andy Still provides guidelines to help public-facing sites identify and manage various types of automated traffic. Some bots are beneficial, such as automated traffic triggered by direct human action, but many of them are highly profitable ventures run by organized criminal groups. Bots can negatively impact your site and your business by: Fraudulently taking advertising revenue without displaying ads to potential customers Stealing website content for competitors to use on their own sites Publishing offensive content on your comments or forum pages Accessing your users' personal data for use elsewhere Creating fake accounts to take unfair advantage of special offers Skewing analytics that would lead you to make invalid business decisions Managing and Mitigating Bots helps you determine which traffic is non-human and requires action, and then guides you through the process of defining a bot-handling policy tailored to the type of bot traffic you identify.
    Note: Description based on online resource; title from title page (Safari, viewed January 8, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492029380/?ar
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  • 79
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    Continuous integration vs. continuous delivery vs. continuous deployment : distinguishing terms and understanding how their implementation methods and tools differ (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: Computer software ; Reliability ; Computer software ; Quality control ; Computer software ; Testing ; Software maintenance ; Computer software ; Management ; Electronic books ; Electronic books ; local
    Abstract: Continuous integration, continuous delivery, and continuous deployment are key software delivery processes in a DevOps environment. But what does each one do for your product development and release cycles? Brent Laster explains what these terms really boil down to, and how they work separately and together to help your team release software. This powerful set of disciplines, best practices, and technologies automates the process of integrating and delivering source code changes from inception through production. Although their implementation may vary, these processes are necessary to ensure that software is released frequently, reliably, and with high quality. You'll learn how: Continuous integration ensures that individual code changes are suitable for inclusion in the code base and merged in successfully Continuous delivery assembles your product, automatically testing the quality and functionality along the way, and produces deliverables that are proven to be deployable Continuous deployment simplifies releasing the product to customers, whether it's in the cloud, via download, or in some other format, while also allowing for limited deployments or rolling deployments back
    Note: Description based on online resource; title from title page (viewed January 5, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492028918/?ar
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  • 80
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    Understanding patterns of disruption : lessons learned from the cloud, machine learning, and more (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Entrepreneurship ; Success in business ; Technological innovations ; Cloud computing ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: From startups to established market leaders, many companies today are taking advantage of disruptive forces to produce new products, become more efficient, or demolish barriers to entry. The web is a good example of a disruptive force, but subtler forms of disruption such as new tools or a fresh take on old ideas can also give your business a much needed boost. In this ebook, Q. McCallum and Ken Gleason take you through several disruption examples and provide a framework to help you spot a disruption opportunity in the wild. Whether it's applying an existing technology in a new way, creating a new business model or market segment, or launching a value network that invites other companies to provide resources or consume your service, this ebook will guide you through the discovery process. Look at two major disruptions from the 1990s that businesses now take for granted Explore how successful businesses such as Uber created market niches by mixing several technologies in clever ways Learn eight ways to spot disruption opportunities, including underserved markets, sources of waste, and artificial barriers to entry Dive into detailed examples of disruption today: the cloud, predictive analytics and machine learning, multi-sided markets, and self-publishing
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 31, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492027225/?ar
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  • 81
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    Learning React Native : building Native mobile apps with JavaScript (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Mobile apps ; Programming ; JavaScript (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Get a practical introduction to React Native, the JavaScript framework for writing and deploying fully featured mobile apps that render natively. The second edition of this hands-on guide shows you how to build applications that target iOS, Android, and other mobile platforms instead of browsers-apps that can access platform features such as the camera, user location, and local storage. Through code examples and step-by-step instructions, web developers and frontend engineers familiar with React will learn how to build and style interfaces, use mobile components, and debug and deploy apps. You'll learn how to extend React Native using third-party libraries or your own Java and Objective-C libraries. Understand how React Native works under the hood with native UI components Examine how React Native's mobile-based components compare to basic HTML elements Create and style your own React Native components and applications Take advantage of platform-specific APIs, as well as modules from the framework's community Incorporate platform-specific components into cross-platform apps Learn common pitfalls of React Native development, and tools for dealing with them Combine a large application's many screens into a cohesive UX Handle state management in a large app with the Redux library
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed November 10, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781491989135/?ar
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  • 82
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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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  • 83
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    Applied text analysis with Python : enabling language-aware data products with machine learning (2018)
    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) ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist's approach to building language-aware products with applied machine learning. You'll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you'll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed July 23, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491963036/?ar
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    AWS system administration : best practices for Sysadmins in the Amazon Cloud (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Amazon Web Services (Firm) ; Web services ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: With platforms designed for rapid adaptation and failure recovery such as Amazon Web Services, cloud computing is more like programming than traditional system administration. Tools for automatic scaling and instance replacement allow even small DevOps teams to manage massively scalable application infrastructures-if team members drop their old views of development and operations and start mastering automation. This comprehensive guide shows developers and system administrators how to configure and manage AWS services including EC2, CloudFormation, Elastic Load Balancing, S3, and Route 53. Sysadms will learn will learn to automate their favorite tools and processes; developers will pick up enough ops knowledge to build a robust and resilient AWS application infrastructure. Launch instances with EC2 or CloudFormation Securely deploy and manage your applications with AWS tools Learn to automate AWS configuration management with Python and Puppet Deploy applications with Auto Scaling and Elastic Load Balancing Explore approaches for deploying application and infrastructure updates Save time on development and operations with reusable components Learn strategies for managing log files in AWS environments Configure a cloud-aware DNS service with Route 53 Use AWS CloudWatch to monitor your infrastructure and applications
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed October 30, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781449342562/?ar
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    A developer's guide to building AI applications : create your first intelligent bot with Microsoft AI (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Artificial intelligence ; Computer programs ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: AI is accelerating the digital transformation for every industry, with examples ranging from manufacturing, retail, finance, healthcare, and many others. At this rate, every industry will be able to use AI to amplify human ingenuity. In this ebook, Joseph Sirosh, Corporate VP of Microsoft's Artificial Intelligence and Research group, provides developers with a comprehensive roadmap to creating your first AI-infused application. Using a Conference Buddy as an example, you'll learn the key ingredients needed to develop an intelligent chatbot that helps conference participants interact with speakers. This ebook provides a gentle introduction on how to leverage the tools, infrastructure, and services on the Microsoft AI Platform to create powerful, intelligent applications. Understand how the intersection of cloud, data, and AI is enabling organizations to build intelligent systems Learn the tools, infrastructure, and services available as part of the Microsoft AI Platform for developing AI applications Teach the Conference Buddy application new AI skills, using pre-built AI capabilities such as vision, translation, and speech Learn about the Open Neural Network Exchange (ONNX)
    Note: Description based on online resource; title from title page (viewed February 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492037835/?ar
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  • 86
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    The making of an Agile leader : you must be agile to do Agile (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Industrial management ; Business planning ; Agile software development ; Leadership ; Electronic books ; Electronic books ; local
    Abstract: Going digital is essential for companies looking to survive and thrive in today's global economy, but many organizations lack the leadership necessary to launch an ambitious digital transformation. With this report, you'll learn how thinking based on Agile software development can help you foster a customer-focused digital mindset- if senior leaders are ready to assume a major role in cultivating the transition. Agile puts customers first, fosters innovation, and supports revenue-based thinking. But leadership is key. Author Jean Dahl explains how agile organizations embrace a servant leadership style that emphasizes teamwork, collaboration, and unwavering management support-in contrast to the command-and-control leadership that dominates the enterprise. This report shows business leaders how to cast off the chains of old structures and outdated ways of working to help lead your company through this digital transition. This report helps you: Understand how Agile's values, principles, and methods enable teams to respond quickly to changing conditions Learn the difference between being agile and doing Agile Examine the 15 traits that characterize a servant leader, including leading by example and inspiring action through vision and purpose Explore these leadership traits through a series of illuminating stories Learn five steps for building a culture of servant leadership in your agile organization
    Note: Includes bibliographical references. - Description based on online resource; title from title page (viewed January 15, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492027980/?ar
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    Embracing Offline first : designing for the next web paradigm (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: It's time to stop treating loss of connectivity as an error state in your web apps. Whether your users are boarding a flight, landing in a country with no local data plan, hiking, or commuting in the metro, offline and poor connectivity are inevitable states in your apps-states you need to plan for. As you develop for an increasingly mobile world, you need to stop treating connectivity loss as an error state in web apps and start thinking offline-first. In this excerpt from Building Progressive Web Apps , author Tal Ater shows you how to plan and implement an effective offline-first strategy. By exploring code examples for a fictitious hotel web page, you'll learn how to work through several common caching problems. This ebook also includes examples of real-world offline-first approaches at Twitter and The Washington Post . Learn some of the more common design patterns used for caching Mix and match patterns to create new methods for caching and serving content Weigh several options when choosing a caching strategy for your web app Learn methods for implementing the caching strategy you choose Explore different approaches for caching and serving a dynamic web app Understand how an offline-first approach dramatically improves the experience for connected users
    Note: Description based on online resource; title from title page (viewed January 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492027256/?ar
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  • 88
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    Changing realities for business : new AR tools for your technology stack and ways to approach blended reality integration (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Augmented reality ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Augmented reality helps you bring digital information into the physical world, while blending the two in new ways. AR has finally developed to the point of usability, and (as some corporations are proving), it has potential value for any technology stack. With this practical ebook, you'll gain a fresh and broader look at AR. How does this technology integrate with your company? How do you sell it in? What's going on outside of industry that will determine how AR develops? Author Leah Hunter explores the big ideas, emerging trends, and most interesting advances in AR industry, education, and retail. Along with basic technical experience, this ebook includes interviews with 23 notable AR-focused developers, investors, artists, and explorers who examine how AR interweaves with business and with life. If you're building an AR solution, or want to pursue an AR career, this guide provides: A deeper awareness of the ideas, emerging trends, and advances in AR, both technical and non-technical Case studies and interviews that reveal insider-information about how companies are thinking about and using AR Ideas for building a smart business strategy as AR becomes used more broadly Technical knowledge on how to build content for service-focused AR Ways to think about AR-as a technologist and a human-including ethical questions about using and building the technology
    Note: Description based on online resource; title from title page (Safari, viewed March 29, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491997109/?ar
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    Setting up your Go development docker environment (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: 1st edition.
    Keywords: Computer software ; Development ; Go (Computer program language) ; Electronic data processing ; Electronic books ; Electronic books ; local
    Abstract: Are you a Go programmer looking to introduce Docker containers into your workflow? In this lesson, you'll learn how to set up a containerized development environment that rebuilds Go code automatically as you edit it. You'll learn how to use tools such as Realize, and how to generate a small and efficient container image for production distribution using Docker Multistage Builds.
    Note: Description based on online resource; title from title page (viewed January 29, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491982297/?ar
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    Making data visual : a practical guide to using visualization for insight (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition
    Keywords: Information visualization ; Visual analytics ; Electronic books ; Electronic books ; local ; Daten ; Visualisierung
    Abstract: You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you're a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way. When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world. You'll learn: The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualization The role that visual representations play in data discovery Common visualization types by the tasks they fulfill and the data they use Visualization techniques that use multiple views and interaction to support analysis of large, complex data sets
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed January 5, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491960493/?ar
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    What is Python? (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Why has Python become an essential tool for programmers, engineers, researchers, and data scientists across academia and industry? This programming language is known for its simplicity and beauty, as well as its large ecosystem of domain-specific tools such as NumPy, SciPy, and Pandas. If you're looking for a brief but comprehensive tour of Python and its capabilities, this article will help.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 24, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492039754/?ar
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    macOS High Sierra : the missing manual : the book that should have been in the box (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Mac OS ; Operating systems (Computers) ; Macintosh (Computer) ; Electronic books ; Electronic books ; local
    Abstract: With High Sierra, Apple has taken its macOS operating system to new heights. From Apple's efficient new file system to improved video streaming and support for virtual reality, this latest macOS version provides features improve your experience. And once again, David Pogue brings his humor and expertise to the #1 bestselling Mac book. Whether you're a developer or a home-user, this guide offers a wealth of detail on Apple's macOS 10.13 operating system, this new edition covers everything High Sierra has to offer. Perfect for newcomers. Get crystal-clear, jargon-free introductions to the best and brightest macOS apps, including Siri, Safari, iCloud, FaceTime, and AirDrop. Get the whole picture. Learn more efficient ways to navigate, organize, and edit your photos with new features in the Photos app. Go in-depth. Take advantage of Apple's new graphics technology, and its support for virtual reality. Gain real insight. David Pogue doesn't just tell you how to use macOS features. You'll also learn why to use them-and how to avoid common pitfalls.i
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed February 27, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492031994/?ar
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    Data science on the Google Cloud Platform : implementing end-to-end real-time data pipelines : from ingest to machine learning (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Google (Firm) ; Cloud computing ; Computing platforms ; Electronic books ; Electronic books ; local
    Abstract: Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. You'll learn how to: Automate and schedule data ingest, using an App Engine application Create and populate a dashboard in Google Data Studio Build a real-time analysis pipeline to carry out streaming analytics Conduct interactive data exploration with Google BigQuery Create a Bayesian model on a Cloud Dataproc cluster Build a logistic regression machine-learning model with Spark Compute time-aggregate features with a Cloud Dataflow pipeline Create a high-performing prediction model with TensorFlow Use your deployed model as a microservice you can access from both batch and real-time pipelines
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed December 18, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781491974551/?ar
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    MarkLogic cookbook : querying, searching, and transforming data (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Non-relational databases ; Querying (Computer science) ; Information retrieval ; Database searching ; Electronic books ; Electronic books ; local
    Abstract: Learn how to get the most out of MarkLogic with recipes from people who understand this powerful multi-model database platform from the inside out. MarkLogic comes with a broad set of capabilities to help you quickly integrate data from silos, but it takes time to learn how to harness that power. In this three-part series, key members of the MarkLogic team-including engineers who built the database-provide targeted recipes to get you up to speed. In Part 1, you'll learn how to solve real-world problems with XQuery, the functional language for working with hierarchical data structures such as XML. Part 2 helps you solve common search-related problems with recipes that work with MarkLogic 9 as well as with older versions. With recipes in Part 3, you'll explore the multiple ways MarkLogic represents data. XQuery: Gain XQuery peak performance, and explore its use in maps, documents, document security, the task server, and administration Search-related problems: Conduct document searches, score search results, understand how data is used, and search with the Optic API MarkLogic and data: Work with input transformations, tokenization, template-driven extraction, and redaction
    Note: Description based on online resource; title from title page (viewed January 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491994610/?ar
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    Getting started with Kudu : perform fast analytics on fast data (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Apache Hadoop ; Electronic data processing ; Distributed processing ; Big data ; Real-time data processing ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Fast data ingestion, serving, and analytics in the Hadoop ecosystem have forced developers and architects to choose solutions using the least common denominator-either fast analytics at the cost of slow data ingestion or fast data ingestion at the cost of slow analytics. There is an answer to this problem. With the Apache Kudu column-oriented data store, you can easily perform fast analytics on fast data. This practical guide shows you how. Begun as an internal project at Cloudera, Kudu is an open source solution compatible with many data processing frameworks in the Hadoop environment. In this book, current and former solutions professionals from Cloudera provide use cases, examples, best practices, and sample code to help you get up to speed with Kudu. Explore Kudu's high-level design, including how it spreads data across servers Fully administer a Kudu cluster, enable security, and add or remove nodes Learn Kudu's client-side APIs, including how to integrate Apache Impala, Spark, and other frameworks for data manipulation Examine Kudu's schema design, including basic concepts and primitives necessary to make your project successful Explore case studies for using Kudu for real-time IoT analytics, predictive modeling, and in combination with another storage engine
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed April 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491980248/?ar
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    Head first learn to code (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    ISBN: 9781491958834 , 1491958839
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: First edition.
    Series Statement: Head first
    Keywords: Python (Computer program language) ; Object-oriented programming (Computer science) ; Object-oriented programming languages ; Computer programming ; Electronic books ; Electronic books ; local
    Abstract: What will you learn from this book? It's no secret the world around you is becoming more connected, more configurable, more programmable, more computational. You can remain a passive participant, or you can learn to code. With Head First Learn to Code you'll learn how to think computationally and how to write code to make your computer, mobile device, or anything with a CPU do things for you. Using the Python programming language, you'll learn step by step the core concepts of programming as well as many fundamental topics from computer science, such as data structures, storage, abstraction, recursion, and modularity. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Learn to Code uses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works.
    Note: Includes index. - Description based on online resource; title from title page (viewed February 2, 2018)
    URL: lizenzpflichtig
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  • 97
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    Reducing MTTD for high-severity incidents : a how-to guide for SREs (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    ISBN: 9781491951187 , 1491951184
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Reliability (Engineering) ; Computer engineering ; Electronic books ; Electronic books ; local
    Abstract: For companies such as Amazon, Dropbox, and Gremlin, the term high severity incident (SEV) signifies drops in network availability, product feature issues, data loss, revenue loss, and security risks. These high-impact bugs occur when coding, automation, testing, and other engineering practices create issues that eventually reach the customer-issues that can exist without detection for hours, days, weeks, and even years. With this in-depth ebook, SREs, SRE managers, VPs of engineering, and CTOs will learn powerful methods for reducing MTTD through incident classification and leveling, tooling, monitoring, KPI metrics, alerting, observability, and chaos engineering. The authors share real-life experiences to explain how they achieved MTTD reduction results for companies including Gremlin, LinkedIn, Twitter, Amazon Web Services, Fuzzbox, and Samba TV. This ebook dives into: Incident classification: SEV descriptions and levels, and SEV and time-to-detection (TTD) timelines Organization-wide critical service monitoring, including key dashboards and KPI metrics emails Service ownership and metrics for organizations maintaining a microservice architecture Effective on-call principles for site reliability engineers, including rotation structure, alert threshold maintenance, and escalation practices Chaos engineering practices to identify random and unpredictable behavior in your system Monitoring and metrics to detect incidents caused by self-healing systems Creating a high-reliability culture by listening to people in your organization
    Note: Includes bibliographical references. - Description based on online resource; title from title page (viewed February 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046202/?ar
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  • 98
    Online Resource
    Online Resource
    Securing web applications : building a strategy for defense against malicious bots (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Web applications ; Security measures ; Data protection ; Malware (Computer software) ; Electronic books ; Electronic books ; local
    Abstract: Most enterprise applications today live on the network edge, right where attackers are focusing increasing attention and activities to gain access to your data. This practical report helps analyze your company's vulnerabilities to common web application security threats, such as malicious bots, application exploits, API attacks, DDoS attacks, and server-based malware. You'll learn proactive steps to implement services and strategies designed to protect online enterprise applications at the user edge. Authors Stephen Gates, edge security evangelist and SME at Oracle Dyn, and Allan Liska, threat intelligence architect at Recorded Future, explore how advanced DNS services, web application firewall (WAF) services, bot management, API security, DDoS defenses, and malware protection solutions combine to protect your sites and applications from malicious attacks and bad actors. Understand the current web application threats landscape Prioritize availability, confidentiality, and integrity and manage associated security risks Explore the role of DNS in maintaining availability Learn how to approach cloud-based web application security Plan your strategy with a web application security checklist
    Note: Description based on online resource; title from title page (Safari, viewed April 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492040279/?ar
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  • 99
    Online Resource
    Online Resource
    Java in a nutshell (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Seventh edition.
    Keywords: Java (Computer program language) ; Web servers ; Object-oriented programming (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: This updated edition of Java in a Nutshell not only helps experienced Java programmers get the most out of Java versions 9 through 11, it's also a learning path for new developers. Chock full of examples that demonstrate how to take complete advantage of modern Java APIs and development best practices, this thoroughly revised book includes new material on Java Concurrency Utilities. The book's first section provides a fast-paced, no-fluff introduction to the Java programming language and the core runtime aspects of the Java platform. The second section is a reference to core concepts and APIs that explains how to perform real programming work in the Java environment. Get up to speed on language details, including Java 9-11 changes Learn object-oriented programming, using basic Java syntax Explore generics, enumerations, annotations, and lambda expressions Understand basic techniques used in object-oriented design Examine concurrency and memory, and how they're intertwined Work with Java collections and handle common data formats Delve into Java's latest I/O APIs, including asynchronous channels Use Nashorn to execute JavaScript on the Java Virtual Machine Become familiar with development tools in OpenJDK
    Note: Includes index. - Description based on online resource; title from title page (viewed February 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492037248/?ar
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  • 100
    Online Resource
    Online Resource
    Product manager vs. project manager : what's the difference and which one do I need? (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Product management ; Project management ; Marketing ; Management ; Product life cycle ; Electronic books ; Electronic books ; local
    Abstract: Positions in product management are in high demand today for job seekers and companies alike, and yet there is much confusion in the market about what, exactly, this role is and does. Many conflate product management with project management, a much more familiar role. This ebook explains the distinction between product and project management for executives and hiring managers, including how these two roles often overlap and complement one another. Bruce McCarthy, CEO of UpUp Labs and President of the Boston Product Management Association, explains that while project managers are responsible for marshalling resources to deliver products on time and on budget, product managers are responsible for the entire lifecycle, from initial research to final product-including market analysis after the product is released. This ebook examines the responsibilities, skills, and expertise that define and differentiate product management and project management, and provides guidelines to help you determine which position best fits your needs.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492034452/?ar
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