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  • 101
    Online Resource
    Online Resource
    Shortcuts that short-circuit talent pipelines : Data-driven optimization of hiring (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: As acute shortages for data scientists and engineers further develop in competitive talent markets, it’s imperative to address biases and bottlenecks in the hiring of data scientists and engineers. Most companies approach hiring and talent management as an art, relying on judgment and experience when conceptualizing jobs, drafting JDs, and screening and assessing candidates. Maryam Jahanshahi (TapRecruit) explains how often-innocuous recruiting decisions have dramatic impacts on hiring outcomes, from the success of a hiring process to the candidate pool composition and the amount of time it takes to hire. She then discusses how using data-driven approaches provide an arbitrage opportunity that has significant impact on both the quality and diversity of candidate pools for data science and engineering roles. Maryam covers the role of confounders in the hiring process, explores the complexity of job descriptions, and shares how she extracted signal from noise to extract the key conclusions she presents. She then presents key hiring heuristics in three vignettes: the one word that creates significant ripple effects at every stage of the hiring process; the surprising way that startups do better in the talent war for data scientists and engineers; and hacking diversity, or how she and her team learned to reproducibly and robustly recruit a diverse pool of data scientists and engineers. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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  • 102
    Online Resource
    Online Resource
    Scrum, Lean, Design Thinking, Kanban, and XP (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Scrum...Lean...Design Thinking...Get past juggling the jargon, and use this guide to find an approach that gets your team building the right thing, and building the thing right.
    Note: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492038962/?ar
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  • 103
    Online Resource
    Online Resource
    Multicloud Architecture Migration and Security (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (56 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you’re considering a multicloud approach to host applications, you’re in good company. According to a recent survey, 42% of the world’s organizations have adopted this strategy. But there are significant challenges and complexities to overcome. This practical report walks you through the pros and cons of migrating to these environments, particularly for securing your applications. Cybersecurity experts Laurent Gil and Allan Liska show you how to orchestrate and manage multicloud environments, including edge technologies designed to secure and protect your environment. Managers and leaders will learn methods for distributing workloads across cloud providers as well as ways to avoid potential pitfalls when pursuing this strategy. Understand the benefits of adopting a multicloud architecture—along with the trade-offs and short-term costs Learn how orchestration lets you manage dozens of applications across thousands of containers in a multicloud environment Explore ways to apply a consistent security policy across all cloud platforms Implement layered security that includes vulnerability scanning, API gateway deployment, and web application firewalls Delve into specific use cases for delivering web application security across all cloud providers
    Note: Online resource; Title from title page (viewed November 5, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492050407/?ar
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  • 104
    Online Resource
    Online Resource
    Monolith to Microservices (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781492047810 , 1492047813 , 9781492047797 , 1492047791
    Language: English
    Pages: 1 online resource (284 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.1
    Keywords: Application software Development ; Computer architecture ; Distributed operating systems (Computers) ; Computer software Development ; Software patterns ; Electronic books ; local ; Logiciels d'application ; Développement ; Ordinateurs ; Architecture ; Systèmes d'exploitation répartis ; Logiciels ; Modèles de conception ; Application software ; Development ; Computer architecture ; Computer software ; Development ; Distributed operating systems (Computers) ; Software patterns
    Abstract: How do you detangle a monolithic system and migrate it to a microservices architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s extremely popular Building Microservices , this new book details a proven method for transitioning an existing monolithic system to a microservice architecture. With many illustrative examples, insightful migration patterns, and a bevy of practical advice to transition your monolith enterprise into a microservice operation, this practical guide covers multiple scenarios and strategies for a successful migration, from initial planning all the way through application and database decomposition. You’ll learn several tried and tested patterns and techniques that you can use as you migrate your existing architecture. Ideal for organizations looking to transition to microservices, rather than rebuild Helps companies determine whether to migrate, when to migrate, and where to begin Addresses communication, integration, and the migration of legacy systems Discusses multiple migration patterns and where they apply Provides database migration examples, along with synchronization strategies Explores application decomposition, including several architectural refactoring patterns Delves into details of database decomposition, including the impact of breaking referential and transactional integrity, new failure modes, and more
    Note: Online resource; Title from title page (viewed November 25, 2019)
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  • 105
    Online Resource
    Online Resource
    Programming Kubernetes (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (270 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you’re looking to develop native applications in Kubernetes, this is your guide. Developers and AppOps administrators will learn how to build Kubernetes-native applications that interact directly with the API server to query or update the state of resources. AWS developer advocate Michael Hausenblas and Red Hat principal software engineer Stefan Schimanski explain the characteristics of these apps and show you how to program Kubernetes to build them. You’ll explore the basic building blocks of Kubernetes, including the client-go API library and custom resources. All you need to get started is a rudimentary understanding of development and system administration tools and practices, such as package management, the Go programming language, and Git. Walk through Kubernetes API basics and dive into the server’s inner structure Explore Kubernetes’s programming interface in Go, including Kubernetes API objects Learn about custom resources—the central extension tools used in the Kubernetes ecosystem Use tags to control Kubernetes code generators for custom resources Write custom controllers and operators and make them production ready Extend the Kubernetes API surface by implementing a custom API server
    Note: Online resource; Title from title page (viewed July 26, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492047094/?ar
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  • 106
    Online Resource
    Online Resource
    Mining the Social Web, 3rd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (432 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking about, and where they’re located—using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter’s example code, packaged as a Jupyter notebook Adapt and contribute to the code’s open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits
    Note: Online resource; Title from title page (viewed January 2, 2019)
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  • 107
    Online Resource
    Online Resource
    Protecting Your Web Applications (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (36 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Websites, applications, and online services are critical business assets, but these services are also among the most vulnerable to attack. When cyberthreats succeed, your company can quickly drop customers, lose revenue, and suffer brand damage. This practical ebook explores today’s major threat patterns and provides security professionals with strategies and techniques for preventing and protecting against a host of attacks. Gary Sloper, a vice president at Oracle Dyn, and industry journalist Ken Hess examine current dangers to cloud-based everything-as-a-service (XaaS) offerings—a threat landscape as big and diverse as the internet itself. You’ll learn how attackers have become successful and explore current remedies to counteract their efforts. This ebook also looks at the future of web application protection according to industry experts. Get an overview of today’s top cyberthreats and their impact on businesses Protect web applications from evolving threats using an integrated approach Use industry guidelines to help prevent injection, XSS, and session hijacking attacks Learn why companies are moving threat protection to third-party entities and the cloud Build layered security with firewalls, multifactor authentication, AI, secure programming, and data analytics
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492052791/?ar
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  • 108
    Online Resource
    Online Resource
    O'Reilly Strata Data Conference 2019 - New York, New York (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 149 hr., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The 2019 Strata Data Conference NYC, the biggest Big Data conference in the world, was a massive success. Packed with thousands of attendees, Strata gathered the world's top data practitioners to provide expert guidance on the tools and technologies you need to make your data strategies and projects work today. This video compilation holds the best of Strata NYC 2019's keynotes, tutorials, and technical sessions. Looking for a head start on the data techniques and technologies you need to succeed? This compilation points the way forward by offering you hours of material to study and absorb at your own rate. The compilation includes such gems as Data Engineering and Architecture sessions, where you'll learn how to select the right type of data infrastructure and architecture to streamline your workflows, reduce costs, and scale your data analysis; Data Science, Machine Learning (ML) and AI sessions, where you'll learn how to use text mining, real-time analytics, large-scale anomaly detection and other techniques to discover the hidden insights in your data; and all of the best talks from the Strata Business Summit, where you'll receive an insiders-only look at the processes and technologies some of the world's most successful companies used to develop their own data strategies. Highlights include: A front row seat at 2019's Strata Data Conference NYC best keynotes, tutorials, and technical sessions—contains hundreds of hours of material to study and absorb at your own pace. Keynote speeches from Big Data's most inspiring business visionaries, such as Sara Menker (CEO, Gro Intelligence), Cassie Kozyrkov (Chief Decision Scientist, Google Cloud), Swatee Singh (VP Big Data/ML, American Express), and Robert D. Thomas (GM, IBM Data and AI). Deep dive tutorials including Jules Damji's (Databricks) sold out session on managing the complete ML lifecycle with MLflow; Karthik Ramasamy's (Streamlio) review of serverless streaming architectures and algorithms for the enterprise; and Mark Donsky (Okera) on how to secure your data lakes to meet the rigors of CCPA privacy regulations. Data Engineering and Architecture sessions, including Navinder Pal Singh Brar (Walmart Labs) on building multitenant data processing and model inferencing platforms with Kafka Streams; Paige Roberts (Vertica) on the whys and hows of putting large stateful applications into containers and Kubernetes; Tomer Levi (Fundbox) on using AWS Step Functions, Docker containers, and ECS Farg...
    Note: Online resource; Title from title screen (viewed September 25, 2019)
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  • 109
    Online Resource
    Online Resource
    What Is Service Design? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Companies and their customers today often don’t focus on the same things. While a restaurant may work hard to create an exciting new menu item, diners care more about courtesy. A bank will spend thousands promoting trust while customers struggle to access their website. This report explains how service design can help your organization innovate to deliver great experiences, not just great products, by understanding your customers' needs. Service design experts Adam Lawrence, Marc Stickdorn, Markus Hormeß, and Jakob Schneider explain that service design is a mindset, a process, a toolset, and a cross-disciplinary language. You’ll learn how cross-functional teams can create and orchestrate great customer or employee experiences that satisfy the requirements of the business, the user, and other stakeholders. This report explores how: Service design applies to physical and digital products as well as services Today’s informed customers have created a new challenge for businesses Service design is similar to design thinking and compatible with Agile and Lean Designers can promote low-risk progress through iterative prototyping Lightweight, iterative research can keep teams from solving the wrong problem This approach offers a common language for cross-silo collaboration
    Note: Online resource; Title from title page (viewed August 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492053668/?ar
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  • 110
    Online Resource
    Online Resource
    What Is Libra? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (29 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Facebook recently announced Libra, an ambitious project to bring blockchain-based cryptocurrency technology to its users around the world. This large-scale project involves a consortium of organizations in technology and finance hoping to reimagine digital finance. With this report, you’ll explore the promises and challenges Facebook and its stakeholders face as Libra approaches its expected 2020 launch. Once it arrives, Libra could have a huge impact on finance and consumer banking. What does it mean for average people using financial services? How could Libra impact the global finance and technology sectors? Author Daniel Cawrey ( Mastering Blockchain ) takes you through the issues and possibilities. Learn how: Libra will leverage blockchain, cryptocurrency, and smart contracts within Facebook’s existing platforms A consortium of organizations across business, technology, and nonprofits will govern Libra Facebook’s Calibra digital wallet will work within this ecosystem Libra took ideas from Bitcoin and the greater blockchain community The system needs to scale to billions of users if it is to work across many devices and networks Libra could help people with little or no access to the banking system
    Note: Online resource; Title from title page (viewed November 25, 2019)
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  • 111
    Online Resource
    Online Resource
    Why Angular for Enterprise Development (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (57 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Enterprises looking to build robust, reliable, and performant applications are increasingly turning to Angular, a cross-platform solution for building mobile, desktop, and web apps. In this instructive guide, Lukas Ruebbelke and Brian Love take you through the key benefits that are helping enterprises of all stripes save time and money with Angular. You’ll explore Angular’s support for common enterprise patterns, its components and tools (including support for code generation, code hinting, and unit testing), and its vibrant ecosystem—all of which mean developers can get up and running immediately. You’ll also learn how Google (the creator of Angular), FedEx, and Capital One are using Angular to meet the needs of their customers, employees, vendors, suppliers, and more. You’ll discover: How Angular follows familiar patterns, including TypeScript, dependency injection, and Reactive Extensions for JavaScript Angular’s built-in modules for routing, fetching data, animations, and service worker integration for building progressive web applications Angular tools and components, including the Angular CLI, the Angular Console, and Nrwl Extensions The Angular ecosystem: Angular Material, Firebase, Ionic, and more How global organizations use Angular to build reliable, scalable applications
    Note: Online resource; Title from title page (viewed August 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492030294/?ar
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  • 112
    Online Resource
    Online Resource
    What Is SRE? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (38 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Site Reliability Engineering is an outgrowth of the "always-on" world of online services. Initiated at Google more than a decade ago, SRE helps many of today’s sites run effectively and reliably, even as those sites continuously introduce new features. This ebook explains how site reliability engineers work with development teams to meet the fundamental customer expectation that online services can and must be reliable. Kurt Andersen from LinkedIn and Craig Sebenik from Split explain how new and existing organizations can successfully adopt SRE processes for managing—and learning from—a host of system incidents. Complete with case studies from Google, LinkedIn, and Slack, this ebook explores SRE and provides guiding principles for implementing the role in your organization. Understand how your company’s culture, capabilities, and organizational structure affect the way you approach SRE Learn how SREs strive to maintain system components in a resilient, predictable, consistent, repeatable, and measured state Examine differences between SRE and other operational roles, such as DevOps and classical ops Learn approaches for adopting SRE in either a new or existing organization Explore key patterns and anti-patterns for introducing SRE in your organization
    Note: Online resource; Title from title page (viewed June 25, 2019)
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  • 113
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    What Is Domain-Driven Design? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (96 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The majority of software projects are delivered late or over budget, or they fail to meet the client’s requirements. Attack the problem head-on and build better software with domain-driven design (DDD)—a methodology that aligns software design with a business’s domain, needs, and strategy. In this report, Vladik Khononov introduces the key patterns and practices of domain-driven design and shows you how to apply them to improve the success rate of your projects. You’ll discover how to explore, analyze, and model your company’s business domain along with techniques for implementing that knowledge. Once you understand the fundamentals, you’ll be able to selectively apply DDD concepts to analyze and simplify your codebase, explore new requirements, and more. You’ll learn: Key domain-driven design concepts, including ubiquitous language and bounded contexts How to employ “event storming” to streamline the process of discovering domain knowledge and building a ubiquitous language Patterns and techniques for implementing business logic and architecting solutions that deliver business goals How to maintain and evolve both tactical and strategic designs over time
    Note: Online resource; Title from title page (viewed October 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492057802/?ar
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  • 114
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    Load Balancing in Microsoft Azure (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (38 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With more and more companies moving on-prem applications to the cloud, software and cloud solution architects alike are busy investigating ways to improve load balancing, performance, security, and high availability for workloads. This practical report describes Microsoft Azure’s load balancing options and explains how NGINX can contribute to a comprehensive solution. Cloud solution architect Arlan Nugara takes you through the steps necessary to design a practical solution for your network. Software developers and technical managers will learn how these technologies have a direct impact on application development and architecture. While the examples are specific to Azure, these load balancing concepts and implementations also apply to cloud providers such as AWS, Google Cloud Platform, DigitalOcean, and IBM Cloud. Understand load balancing—what it is and why it’s important Explore load balancing in Azure, including the traffic manager and application gateway Learn how NGINX Plus on Azure lets you create an ideal end-to-end application platform Walk through three load balancing options with Azure and NGINX Plus Explore security choices including NGINX management, NGINX Web Application Firewall, and Azure Firewall integration
    Note: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492053934/?ar
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  • 115
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    InnerSource Product Owners (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sponsored by PayPal Middle management support is crucial to the adoption and long term survival of any InnerSource program. But how do you pull that off? In this course, InnerSource expert Silona Bonewald reveals the strategies that will convince middle managers to approve your InnerSource program and support them for doing so. One key to her approach: learn how to measure your program's success. If middle managers can see measurable success, your InnerSource program will thrive. Learners should be familiar with Agile or Lean processes and have a basic understanding of the roles of InnerSource Trusted Committers and Contributors. For best results, please view O'Reilly Media's " Introduction to InnerSource " video before beginning this course. Learn how to build and maintain middle management support for InnerSource programs Understand the Product Owners role in InnerSource Discover the best methods for dealing with escalations and removing bottlenecks Get wise to the numbers your bosses need to see and why they need to see them Explore the best ways to market your team and product to your organization Pick up the ability to create and maintain win/win agreements Learn how to persuade other teams to open their code to your team Silona Bonewald is the Director of InnerSource Engineering at Paypal. A developer and open source advocate since the late 90s, Silonia is a frequent contributor at O'Reilly OSCON conferences, where she speaks about InnerSource and other open source related topics.
    Note: Online resource; Title from title screen (viewed May 13, 2019)
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  • 116
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    Kubernetes : Up and Running, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (275 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Kubernetes radically changes the way applications are built and deployed in the cloud. Since its introduction in 2014, this container orchestrator has become one of the largest and most popular open source projects in the world. The updated edition of this practical book shows developers and ops personnel how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency. Kelsey Hightower, Brendan Burns, and Joe Beda—who’ve worked on Kubernetes at Google and beyond—explain how this system fits into the lifecycle of a distributed application. You’ll learn how to use tools and APIs to automate scalable distributed systems, whether it’s for online services, machine learning applications, or a cluster of Raspberry Pi computers. Create a simple cluster to learn how Kubernetes works Dive into the details of deploying an application using Kubernetes Learn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secrets Explore deployments that tie together the lifecycle of a complete application Get practical examples of how to develop and deploy real-world applications in Kubernetes
    Note: Online resource; Title from title page (viewed October 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046523/?ar
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    Getting Your Data Ready for AI (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (23 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Despite the enthusiasm for AI, a recent survey reveals that few organizations have adopted this technology in any meaningful way. One reason is the tedious process of accessing, labeling, and transforming data—known as data wrangling—that consumes 80% of a data scientist’s time. There’s a better way to model data. This practical ebook explores a new crop of self-service data preparation tools and services, including IBM Watson Studio, for automating data wrangling. Featuring interviews with data analytics experts, including Alex Castrounis (InnoArchiTech), Jay Limburn (IBM), and Katharine Jarmul ( Data Wrangling with Python ) among others, this ebook examines key barriers to capturing value from AI processes, including problems with data access and preparation. Author Kate Shoup shows data scientists and analysts how Watson Studio and other self-service tools enable domain experts, developers, and business analysts to practice data science. Get an overview of data science and learn how it differs from data analysis Examine a typical AI workflow, including challenges that surface at each step of the data wrangling process Learn solutions to AI workflow challenges, including the use of data catalogs to help you access and prep data Dive into Watson Studio and learn how the platform combines data catalogs with support for data science tools in one environment Evaluate a Watson Studio example and explore real-world use cases
    Note: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492042419/?ar
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  • 118
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    Emerging Programming Languages (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: C++, Java, Python, and other established programming languages may yet be with us for a long time, but our current software development landscape has given rise to new languages that benefit from the lessons learned over decades of programming. In this report, you’ll examine six of the fastest-growing programming languages: Crystal, Elixir, Elm, Julia, Kotlin, and Rust. The O’Reilly editorial team covers the issues that drive modern language development and provides an overview of each language’s origins, features, usage, and trends. You’ll learn the answers to several key questions: Why are these languages important to software developers and the programming community? What makes them good at challenging other, more established languages? What problems do they solve for programmers and software architects? This report examines: Issues addressed by these modern languages such as concurrency, visibility, environment, syntax, robustness, data types, and functions The purpose that motivated each language’s creation, as well as choices and trade-offs made in the process Unique features that each language offers to programmers What their rapid rise reveals about the shifting ecosystem
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492082590/?ar
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    Concurrency in C# Cookbook, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (251 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: If you’re one of many developers still uncertain about concurrent and multithreaded development, this practical cookbook will change your mind. With more than 85 code-rich recipes in this updated second edition, author Stephen Cleary demonstrates parallel processing and asynchronous programming techniques using libraries and language features in .NET and C# 8.0. Concurrency is now more common in responsive and scalable application development, but it’s still extremely difficult to code. The detailed solutions in this cookbook show you how modern tools raise the level of abstraction, making concurrency much easier than before. Complete with ready-to-use code and discussions about how and why solutions work, these recipes help you: Get up to speed on concurrency and async and parallel programming Use async and await for asynchronous operations Enhance your code with asynchronous streams Explore parallel programming with .NET’s Task Parallel Library Create dataflow pipelines with .NET’s TPL Dataflow library Understand the capabilities that System.Reactive builds on top of LINQ Utilize threadsafe and immutable collections Learn how to conduct unit testing with concurrent code Make the thread pool work for you Enable clean, cooperative cancellation Examine scenarios for combining concurrent approaches Dive into asynchronous-friendly object-oriented programming Recognize and write adapters for code using older asynchronous styles
    Note: Online resource; Title from title page (viewed August 27, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492054498/?ar
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    AI for People and Business (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (314 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you’re an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You’ll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, business consultant and former IndyCar engineer and race strategist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business. AI is exciting, powerful, and game changing—but too many AI initiatives end in failure. With this book, you’ll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. You’ll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products. Use the book’s AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AI Define a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and users Leverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturity Understand the importance of executive leadership for pursuing AI initiatives "A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization." - Dan Park, GM & Director, Uber "Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us." - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend
    Note: Online resource; Title from title page (viewed July 12, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492036562/?ar
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    AI-Driven Analytics (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (36 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: What happens when you incorporate artificial intelligence into your analytics portfolio? A decade ago, business intelligence applications were simply trying to become more visual. Now, analytics software provides intuitive search and AI-driven features as an integral part of the experience. This practical ebook explains how business professionals like you can AI to find insights buried in your corporate data to make the right decision. Sean Zinsmeister, Andrew Yeung, and Ryan Garrett take you through the many benefits of AI-driven analytics for the enterprise. Analysts will be able to reduce analysis from days to minutes. Decision makers, whether they’re in the boardroom or on the frontlines, will find insights faster and deeper than is possible with static BI dashboards. This ebook explains how AI can increase data literacy by helping business people discover what to look for in the first place. Delve into the origins of AI and BI and see how the two evolved simultaneously Learn why AI requires database and analytics technologies that operate at massive volume and speed Understand common AI algorithms and applications used in analytics Explore the variety of technology choices for implementing AI Learn how nontechnical users can leverage AI to conduct analyses Examine AI-driven analytics in retail, financial services, manufacturing, and high tech
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492055785/?ar
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    Security principles for the working architect (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 51 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Security is an ever more important topic for system designers. As our world becomes digital, today’s safely hidden back office system is tomorrow’s public API, open to anyone on the internet with a hacking tool and time on their hands. So the days of hoping that security is someone else’s problem are over. The security community has developed a well-understood set of principles used to build systems that are secure (or at least securable) by design, but this topic often isn’t included in the training of software developers, who assume that it’s only relevant to security specialists. Even when principles are explained, they’re often shrouded in the jargon of the security engineering community, and so mainstream developers struggle to understand and apply them. Eoin Woods (Endava) explains why secure design matters and then introduces a set of 10 of the most important proven principles for designing secure systems, distilled from the wisdom of the security engineering community. He discusses each principle in the context of mainstream system design, rather than in the specialized language of security engineering, focusing on how it’s applied in practice to improve security. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Web Performance as a Competitive Advantage (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: To the typical web user, speed doesn’t only mean performance. Users’ perception of your app or site’s speed is heavily influenced by their user experience. This infographic describes the various ways your organization can improve performance to have a leg up on the competition.
    Note: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492039921/?ar
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    Web Development with Node and Express, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (334 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. Build dynamic web applications with Express, a key component of the Node/JavaScript development stack. In this updated edition, author Ethan Brown teaches you Express 5 fundamentals by walking you through the development of an example application. This hands-on guide covers everything from server-side rendering to API development suitable for use in single-page apps (SPAs) Express strikes a balance between a robust framework and no framework at all, allowing you a free hand in your architecture choices. Frontend and backend engineers familiar with JavaScript will also learn best practices for building multi-page and hybrid web apps with Express. Pick up this book and discover new ways to look at web development.
    Note: Online resource; Title from title page (viewed November 1, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492053507/?ar
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    Responsible microservices (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: These days, you can’t swing a dry-erase marker without hitting someone talking about microservices. Developers are studying Eric Evans’s prescient book Domain-Driven Design . Teams are refactoring monolithic apps, looking for bounded contexts, and defining a ubiquitous language. And while there have been countless articles, videos, and talks to help you convert to microservices, few have spent any appreciable time asking if a given application should be a microservice. Nathaniel Schutta (Pivotal) shows you a set of factors you can apply to help you decide if something deserves to be a microservice or not. You’ll also look at what you need to do to maintain a healthy micro(services)biome. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Think Java, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (322 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end. Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned. Learn one concept at a time: tackle complex topics in a series of small steps with examples Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately Determine which development techniques work best for you, and practice the important skill of debugging Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays Work on exercises involving word games, graphics, puzzles, and playing cards The updated second edition of Think Java also features new chapters on polymorphism and data processing, as well as content covering changes through Java 12.
    Note: Online resource; Title from title page (viewed November 29, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492072492/?ar
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    Spotlight on Innovation : Succeeding with Machine Learning with Alex Jaimes (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Machine learning (ML) is absolutely critical to driving your business success—and more opportunities to integrate it in innovative ways are emerging every day. However, implementation isn’t always as easy as it seems. To effectively execute ML and make it work for your organization, you must solve for this new interdependency between data, metrics, and testing. In this Spotlight on Innovation , learn about machine learning opportunities and challenges—and why process improvements can be even more beneficial than algorithmic ones. Recorded on February 13, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed July 30, 2019)
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    Streaming Data (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (33 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Managers and staff responsible for planning, hiring, and allocating resources need to understand how streaming data can fundamentally change their organizations. Companies everywhere are disrupting business, government, and society by using data and analytics to shape their business. Even if you don’t have deep knowledge of programming or digital technology, this high-level introduction brings data streaming into focus. You won’t find math or programming details here, or recommendations for particular tools in this rapidly evolving space. But you will explore the decision-making technologies and practices that organizations need to process streaming data and respond to fast-changing events. By describing the principles and activities behind this new phenomenon, author Andy Oram shows you how streaming data provides hidden gems of information that can transform the way your business works. Learn where streaming data comes from and how companies put it to work Follow a simple data processing project from ingesting and analyzing data to presenting results Explore how (and why) big data processing tools have evolved from MapReduce to Kubernetes Understand why streaming data is particularly useful for machine learning projects Learn how containers, microservices, and cloud computing led to continuous integration and DevOps
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492038085/?ar
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    Microservices architecture in the real world (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Over the past two years, Credit Karma has gone from zero to nearly 100 microservices, supporting over 300 engineers while serving our more than 80 million members. Drawing on his experience at Credit Karma, Mason Jones shares approaches based on his real-world experiences making the shift to microservices, covering routing (How does service A find and call service B?), management (How do you handle hundreds of containers?), observability (How do you know what’s going on out there?), and experience (How do your developers deal with these services?), as well as the cultural and organizational impact that you can’t avoid. Join in to explore solutions, pitfalls, and practical examples that have worked in the real world at scale. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Product Management (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: How does a product manager successfully connect and align their team? By leveraging the CORE skills of product management: communication, organization, research, and execution. This infographic describes the core skills needed for a product manager to succeed at your organization.
    Note: Online resource; Title from title page (viewed May 19, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492036159/?ar
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    Product Design vs. Design Thinking (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Product design tends to jump between business thinking and creative thinking, but design thinking blends them together. This infographic describes the skillset and processes behind product design and design thinking.
    Note: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492031888/?ar
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    Practical Deep Learning for Cloud, Mobile, and Edge (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (618 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users
    Note: Online resource; Title from title page (viewed October 17, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492034858/?ar
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    On microservices, bounded contexts, and everything in between (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: “Ninety-five percent of the words are spent extolling the benefits of ‘modularity’ and that little, if anything, is said about how to achieve it”—Glenford J. Myers, 1978. The above quote is 40 years old. Today, four decades later, nothing has changed except terminology. Time to fix this. Vladik Khononov (Invesus Group) explains how to decompose a system into loosely coupled components: how to draw boundaries between services, how to decide whether some logic belongs to one service or another, and how domain-driven design can help us make those decisions. Finally, he takes a stab at answering the age-old question of what part of a microservice should be “micro” and how it can be measured. You’ll hear about neither Docker nor Kubernetes. Actually, nothing related to infrastructure. Instead, you’ll dive into the difference between microservices and bounded contexts, discover when each pattern should be used, and get takeaways from Vladik’s experience optimizing microservices-quotebased architectures at Naxex. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Observability for developers : How to get from here to there (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 33 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: There’s been a lot of talk about software ownership—but what does “owning code in production” really mean for developers day to day? Many development teams still reach for logs in production as the most familiar way to bridge the development environment with production. Christine Yen (Honeycomb) makes the case that observability—and the skills to craft the right graphs and read them—benefits developers more than it does operators by examining several instances where well-informed devs can supercharge their development process, such as data-driven product decisions (or how to know more about what needs to be done than your PM), rewrites and migrations, feature flags and testing in production, and fine-grained performance analysis. Then, she lays out a series of steps to get your team from grepping unstructured text logs to outputting and analyzing well-structured traces. Instrumentation and observability aren’t all-or-nothing endeavors, and you’ll leave with an idea of the next step you can take to improve your ability to understand your production systems. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    The Enterprise Big Data Lake (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (221 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries
    Note: Online resource; Title from title page (viewed March 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491931547/?ar
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    Strengthening Deep Neural Networks (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (244 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick a human presents a new attack vector. This practical book examines real-world scenarios where DNNs—the algorithms intrinsic to much of AI—are used daily to process image, audio, and video data. Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks. If you’re a data scientist developing DNN algorithms, a security architect interested in how to make AI systems more resilient to attack, or someone fascinated by the differences between artificial and biological perception, this book is for you. Delve into DNNs and discover how they could be tricked by adversarial input Investigate methods used to generate adversarial input capable of fooling DNNs Explore real-world scenarios and model the adversarial threat Evaluate neural network robustness; learn methods to increase resilience of AI systems to adversarial data Examine some ways in which AI might become better at mimicking human perception in years to come
    Note: Online resource; Title from title page (viewed July 23, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492044949/?ar
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    Spotlight on Learning from Failure : Data Ethics Is Good Business with Heather Krause (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Ethical lapses aren’t just embarrassing and expensive—they can put your organization at serious risk in a number of ways and damage its reputation and bottom line. If you collect any kind of data, you’re more vulnerable to ethical errors than you may realize. From acquisition and model-building to algorithms, it’s critical to view all aspects of data science through an ethical lens and implement best practices to ensure accuracy. We need only look to some very public failures as proof. Learn about three cases when data ethics mistakes cost companies both money and trust—and how your business can avoid their mistakes. Recorded on January 29, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Note: Online resource; Title from title screen (viewed August 27, 2019)
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    Spotlight on Learning from Failure : Creating Better Data Pipelines with Natalino Busa (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: When considering the complexities of implementing a next-generation data pipeline, the risk of over-promising and under-delivering is incredibly high due to the overwhelming expectations placed on predictive analytics today. It’s critical to look at a number of factors—like your company’s culture and the historic promise gap between ETL (extract, transform, load) in the 1970s and AI (artificial intelligence) in the 2010s—to overcome the challenges and succeed. Natalino Busa discusses how to bust the myths, deconstruct the false assumptions, and avoid common pitfalls in order to build and deliver successful data pipelines that deliver real value to your organization. Recorded on February 26, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Note: Online resource; Title from title screen (viewed August 27, 2019)
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    Spotlight on Learning from Failure : Assessing Talent Beyond Technical Skills with Tony Tjan (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 57 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: One of the most difficult business challenges has nothing to do with data or technology—it has to do with people. While it’s fairly easy to assess potential hires’ knowledge and skills, it’s much harder to gauge soft traits like attitude. How can you ensure your first impressions are accurate so you can avoid costly hiring mistakes, and correctly identify rising stars and make the most of their talent? Tony Tjan explains how overlooking personality and attitude in favor of technical expertise can cost you. Make sure you’re never in that situation by learning the most important questions to ask during the hiring process to build a stronger, more successful organization. Recorded on March 26, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Note: Online resource; Title from title screen (viewed August 27, 2019)
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    Spotlight on Innovation : Predicting the Next Big Breakthrough with Nima Montazeri (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 57 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: With new technologies increasing the pace of innovation every day, companies demand a constant supply of fresh ideas. To be successful, an innovation process must deliver two things: a superior solution and a great market response. Once you have the former, how do you ensure the latter? It all starts by examining the key dimensions of a technology’s evolution and understanding how it’s delighting customers. Learn how to make better decisions about where to focus your innovation efforts and money. You’ll also find out—through two case studies—how backing the right industry innovations can pay off for your organization in a major way. Recorded on April 10, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed August 29, 2019)
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    Spotlight on Innovation : Building Resilient Systems with Heidi Waterhouse (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 57 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: LaunchDarkly’s Heidi Waterhouse shares some of the biggest challenges in feature management. In a perfect world, we’d develop tidy, discrete features that are easy to manage. But in reality, we’re often struggling with a complicated snarl of features that are difficult to test and deploy. Heidi explains how you can use feature management design to build modular, testable, resilient systems. Recorded on April 23, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed September 17, 2019)
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    Semantic Software Design (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (331 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With this practical book, architects, CTOs, and CIOs will learn a set of patterns for the practice of architecture, including analysis, documentation, and communication. Author Eben Hewitt shows you how to create holistic and thoughtful technology plans, communicate them clearly, lead people toward the vision, and become a great architect or Chief Architect. This book covers each key aspect of architecture comprehensively, including how to incorporate business architecture, information architecture, data architecture, application (software) architecture together to have the best chance for the system’s success. Get a practical set of proven architecture practices focused on shipping great products using architecture Learn how architecture works effectively with development teams, management, and product management teams through the value chain Find updated special coverage on machine learning architecture Get usable templates to start incorporating into your teams immediately Incorporate business architecture, information architecture, data architecture, and application (software) architecture together
    Note: Online resource; Title from title page (viewed October 2, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492045946/?ar
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    Programming C# 8.0 (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (801 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: C# is undeniably one of the most versatile programming languages available to engineers today. With this comprehensive guide, you’ll learn just how powerful the combination of C# and .NET can be. Author Ian Griffiths guides you through C# 8.0 fundamentals and teaches you techniques for building web and desktop applications. Designed for experienced programmers, this book provides many code examples to help you work with the nuts and bolts of C# code, such as generics, dynamic typing, nullable reference types, and asynchronous programming features. You’ll also get up to speed on ASP.NET, LINQ, and other .NET tools. Discover how C# supports fundamental coding features such as classes, custom types, collections, and error handling Understand the differences between dynamic and static typing in C# Query and process diverse data sources such as in-memory object models, databases, and XML documents with LINQ Use .NET’s multithreading features to exploit your computer’s parallel processing capabilities Learn how the new asynchronous language features can help improve application responsiveness and scalability
    Note: Online resource; Title from title page (viewed December 20, 2019)
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    Product Roadmaps Relaunched (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (21944 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: A good product roadmap is one of the most important and influential documents an organization can develop, publish, and continuously update. In fact, this one document can steer an entire organization when it comes to delivering on company strategy. This practical guide teaches you how to create an effective product roadmap, and demonstrates how to use the roadmap to align stakeholders and prioritize ideas and requests. With it, you’ll learn to communicate how your products will make your customers and organization successful. Whether you're a product manager, product owner, business analyst, program manager, project manager, scrum master, lead developer, designer, development manager, entrepreneur, or business owner, this audio book will show you how to: Articulate an inspiring vision and goals for your product Prioritize ruthlessly and scientifically Protect against pursuing seemingly good ideas without evaluation and prioritization Ensure alignment with stakeholders Inspire loyalty and over­-delivery from your team Get your sales team working with you instead of against you Bring a user­ and buyer-­centric approach to planning and decision-making Anticipate opportunities and stay ahead of the game Publish a comprehensive roadmap without over­committing
    Note: Online resource; Title from title page (viewed March 28, 2019)
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    O'Reilly Velocity Conference 2019 - San Jose, California (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 61 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: O’Reilly Media’s Velocity San Jose 2019 conference had one overarching goal: offer conference attendees the opportunity to gather expert insight on building and maintaining cloud native systems. How did Velocity meet that goal? By giving the world’s best cloud native system engineers, SREs, and DevOps experts the chance to share their experiences. For example: Alex Chen (Alibaba Cloud) described how cloud native storage products such as table storage, object storage, and log storage enabled the Alibaba platform to handle RMB 10B worth of sales in two minutes and five seconds. Ory Segal's (PureSec) revealed how attackers approach and exploit the weaknesses of serverless and what you can do about it. Nivia Henry (Spotify) demonstrated how an algorithm is built and what you can do to catch, reduce, or eliminate the algorithmic biases that produce infamous events like Tay the racist Twitter Bot. This video compilation contains all of these talks plus the best keynotes, tutorials, and tech sessions delivered at Velocity San Jose 2019. Looking to build your knowledge of how to build and maintain cloud native systems? Get this compilation and you’ll be on your way. Highlights include: Complete video recordings of Velocity San Jose 2019’s best tutorials, keynote speeches, and technical sessions—contains hours of material to review and study at your own pace and schedule. Cloud engineering tutorials, such as Patrick Meenan (Facebook) on fixing broken HTTP/2 deployments; Michael Kehoe (LinkedIn) on using Terraform to modernize your cloud infrastructure; and Ben Bleything (Google) on using the open source InSpec framework to build infrastructure and compliance tests. Keynotes from luminaries such as Liz Fong-Jones (Honeycomb), Everett Harper (Truss), Julie Horvath (Apple), Alex Qin (Code Cooperative), Lena Hall (Microsoft), and Jessica Kerr (Atomist). Sessions devoted to building secure and resilient systems, including Ian Coldwater’s (Independent) deep dive into Kubernetes CVE-2018-1002105 protections and Nora Jones (Slack) on the advanced approaches required for each piece of the chaos experiments cycle. Special sessions called “Overcoming Obstacles: Lessons in Resilience,” featuring the stories of cloud engineering success in the face of overwhelming barriers from practitioners such as Ryan Kitchens (Netflix), Tim Bonci (Vistaprint), and Tammy Butow (Gremlin). Sessions covering production engineering, SRE, and DevOps, including Charity Majors (Honeyco...
    Note: Online resource; Title from title screen (viewed June 12, 2019)
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    MongoDB : The Definitive Guide, 3rd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (425 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local ; MongoDB ; NoSQL-Datenbanksystem
    Abstract: With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. Manage your data in a database system designed to support modern application development. The updated edition of this authoritative and accessible guide shows you the many advantages of using document-oriented databases, including how this secure, high-performance system enables flexible data models, high availability, and horizontal scalability. Written by current and former members of the MongoDB team, the third edition is updated for MongoDB 4.0. You’ll find substantial updates on querying, indexing, aggregation, replica sets, ops manager, sharding administration, data administration, durability, monitoring, and security. Authors Shannon Bradshaw (MongoDB) and Kristina Chodorow (Google) provide guidance for database developers, advanced configuration for system administrators, and use cases for a variety of projects. Ideal for NoSQL newcomers and experienced MongoDB users alike, this book also includes many real-world schema design examples.
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491954454/?ar
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    Mastering Spark with R (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (293 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions
    Note: Online resource; Title from title page (viewed October 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046363/?ar
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    Learning CoreDNS (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (203 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Until recently, learning CoreDNS required reading the code or combing through the skimpy documentation on the website. No longer. With this practical book, developers and operators working with Docker or Linux containers will learn how to use this standard DNS server with Kubernetes. John Belamaric, senior staff software engineer at Google, and Cricket Liu, chief DNS architect at Infoblox, show you how to configure CoreDNS using real-world configuration examples to achieve specific purposes. You’ll learn the basics of DNS, including how it functions as a location broker in container environments and how it ties into Kubernetes. Dive into DNS theory: the DNS namespace, domain names, domains, and zones Learn how to configure your CoreDNS server Manage and serve basic and advanced zone data with CoreDNS Configure CoreDNS service discovery with etcd and Kubernetes Learn one of the most common use cases for CoreDNS: the integration with Kubernetes Manipulate queries and responses as they flow through the plug-in chain Monitor and troubleshoot the availability and performance of your DNS service Build custom versions of CoreDNS and write your own plug-ins
    Note: Online resource; Title from title page (viewed September 9, 2019)
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    Learning Apache OpenWhisk (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (391 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Serverless computing greatly simplifies software development. Your team can focus solely on your application while the cloud provider manages the servers you need. This practical guide shows you step-by-step how to build and deploy complex applications in a flexible multicloud, multilanguage environment using Apache OpenWhisk. You’ll learn how this platform enables you to pursue a vendor-independent approach using preconfigured containers, microservices, and Kubernetes as your cloud operating system. Michele Sciabarrà demonstrates how to build a serverless application using classical design patterns and the programming language or languages that best fit your task. You’ll start by building a simple serverless application hands-on before diving into the more complex aspects of the OpenWhisk platform. Examine how OpenWhisk’s serverless architecture works, including the use of packages, actions, sequences, triggers, rules, and feeds Learn how OpenWhisk compares to existing architectures, such as Java Enterprise Edition Manipulate OpenWhisk features using the command-line interface or a JavaScript API Design applications using common Gang of Four design patterns Use architectural design patterns such as model-view-controller to combine several OpenWhisk actions Learn how to test and debug your code in a serverless environment
    Note: Online resource; Title from title page (viewed July 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046158/?ar
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    Introducing Istio Service Mesh for Microservices, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (83 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Microservices fundamentally change the way you design enterprise software. By adding network dependencies to your application logic, you invite in a host of potential hazards that grow proportionally with the number of connections you make. With the updated edition of this practical ebook, application architects and development team leads will learn how to use the Istio service mesh to connect, manage, and secure microservices in order to create powerful cloud-native applications. Burr Sutter and his team at Red Hat introduce you to several key microservices capabilities that Istio provides on top of Kubernetes and OpenShift. You’ll learn how your application can offload service discovery, load balancing, resilience, observability, and security to Istio so you can focus on differentiating business logic. Dive into Istio with detailed examples of: Traffic control: Examine Istio patterns including smarter canaries and dark launches Service resiliency: Discover how Istio provides load balancing, circuit breaking, and pool ejection Chaos testing: Test your system’s ability to withstand turbulent conditions through fault injection Observability: Use tracing and metrics to learn the relationships between individual system components Security: Explore Istio’s security capabilities, such as mTLS, RBAC, and policy enforcement
    Note: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492052630/?ar
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    DevOps Automation with Terraform and VMware (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Despite the size or scale of your production environment, your organization can gain significant value by adopting DevOps practices. Yet most organizations today still deploy application code and packages manually. To facilitate your adoption of DevOps-style practices, this hands-on guide shows you how to automate your IT operations using HashiCorp Terraform and VMware. DevOps is as much a people and process change as it is a technology change. Terraform and VMware provide the automation infrastructure, so you can focus on acquiring and adapting DevOps skills and processes. Eric Wright, technology evangelist at Turbonomic, shows architects and administrators how to build and operate VMware vSphere virtual machines and infrastructure using the Terraform CLI. With this report, you will: Learn how to codify virtual infrastructure step-by-step Understand how DevOps processes apply to VMware infrastructure Easily build VMware virtual machines and applications as Terraform resources Perform lifecycle management and immutable concepts using Terraform and VMware
    Note: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492073765/?ar
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    Deep Learning from Scratch (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You’ll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way. Author Seth Weidman shows you how neural networks work using a first principles approach. You’ll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you’ll be set up for success on all future deep learning projects. This book provides: Extremely clear and thorough mental models—accompanied by working code examples and mathematical explanations—for understanding neural networks Methods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented framework Working implementations and clear-cut explanations of convolutional and recurrent neural networks Implementation of these neural network concepts using the popular PyTorch framework
    Note: Online resource; Title from title page (viewed September 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492041405/?ar
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    Database Internals (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (370 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency
    Note: Online resource; Title from title page (viewed October 8, 2019)
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    Cloud Native Data Center Networking (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (478 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The kinds of analysis and data sharing that takes place in modern business relies on fast, robust communications among computer systems. Network architects, network operators, and even the designers of distributed applications need to understand architecture and communications protocols in the data center. And best practices have changed radically over the past decade. For the first time, you can find out what a modern data center looks like, thanks to this book by a leading network developer, Dinesh G. Dutt. This book offers both theory to ground your work and practical advice on topics, such as: Connecting systems in modern data centers Multitenancy How to automate common practices Proper monitoring Choices in routing protocols With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles.
    Note: Online resource; Title from title page (viewed November 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492045595/?ar
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    Cloud Native (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (229 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Developers often struggle when first encountering the cloud. Learning about distributed systems, becoming familiar with technologies such as containers and functions, and knowing how to put everything together can be daunting. With this practical guide, you’ll get up to speed on patterns for building cloud native applications and best practices for common tasks such as messaging, eventing, and DevOps. Authors Boris Scholl, Trent Swanson, and Peter Jausovec describe the architectural building blocks for a modern cloud native application. You’ll learn how to use microservices, containers, serverless computing, storage types, portability, and functions. You’ll also explore the fundamentals of cloud native applications, including how to design, develop, and operate them. Explore the technologies you need to design a cloud native application Distinguish between containers and functions, and learn when to use them Architect applications for data-related requirements Learn DevOps fundamentals and practices for developing, testing, and operating your applications Use tips, techniques, and best practices for building and managing cloud native applications Understand the costs and trade-offs necessary to make an application portable
    Note: Online resource; Title from title page (viewed August 28, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492053811/?ar
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    Building Intelligent Cloud Applications (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (154 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing machine resources, companies now can focus solely on the application’s business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure. You’ll learn step-by-step how to code machine learning into your projects using Python and pre-trained models that include tools such as image recognition, speech recognition, and classification. You’ll also examine issues around deployment and continuous delivery including scaling, security, and monitoring. This book is divided into four parts: Cloud-based development: learn the basics of serverless computing with machine learning, functions as a service (FaaS), and the use of APIs Adding intelligence: create serverless applications using Azure Functions; learn how to use pre-built machine-learning and deep-learning models Deployment and continuous delivery: get up to speed with Azure Kubernetes Service, as well as Azure Security Center, and Azure Monitoring Application examples: deliver data at the edge, build conversational interfaces, and use convolutional neural networks for image classification
    Note: Online resource; Title from title page (viewed September 17, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492052319/?ar
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    What Is Augmented Analytics? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As your business tries to make sense of today’s staggering amount of structured and unstructured data, traditional analytics will take you only so far. The key to success over the next few years will depend on augmented analytics, a method that embeds machine learning and natural language processing (NLP) in the process. This report explains how augmented analytics can help you uncover hidden insights, predict results, and even prescribe solutions. Author Alice LaPlante provides best practices for deploying augmented analytics, along with real-world case studies that show you how to take full advantage of this method. IT professionals, business managers, and CFOs will learn ways to democratize data use among business users and executives, using a self-service model. The future belongs to those who can get more from their data. This report shows you how. Get a primer on the key components and learn how they work together Delve into the benefits of—and roadblocks to—adopting augmented analytics Learn how companies use this method in marketing, sales, finance, and human resources Examine case studies of companies including Accenture and Riverbed
    Note: Online resource; Title from title page (viewed October 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492058458/?ar
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    Turn devices into data scientists—at the edge (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Today’s approach to processing streaming data is based on legacy big-data centric architectures, the cloud, and the assumption that organizations have access to data scientists to make sense of it all—leaving organizations increasingly overwhelmed. Simon Crosby (SWIM.AI) shares a new architecture for edge intelligence that turns this thinking on its head. Edge intelligence (encompassing analytics, learning and prediction, and edge computing) can frequently be accomplished on the fly on streaming data, cheaply, at the edge, without data scientists. Simon demonstrates how you can save up to $5,000 a month in cloud processing and storage costs while delivering accurate predictions that can transform outcomes, using well-established architectural pillars, such as the distributed actor model, to process voluminous real-time data at the edge, along with the rich commons of open source analytics and learning tools like Flink and Spark, on nothing more than a $200 device such as an NVIDIA Jetson. The key insight is to use streaming data to build a digital twin model on the fly at the edge, avoiding a ton of complexity and infrastructure costs. Instead, a user defines the entities in their environment (e.g., traffic intersections, compressors, or assembly robots) that deliver data. Using the stateful distributed actor model, you can dynamically build a digital twin (actor) model of the real-world from the data, linking twins based on their relationships. Each digital twin reduces, labels, and analyzes its data and self-trains a machine learning model to predict future performance, at the edge, discarding the original data. This method needs only a tiny fraction of the resources of a big data solution and delivers results in real time. As a result, it bypasses the dev, ops, and data science challenges of edge intelligence, effectively turning devices into data scientists—or at least, building data science twins for entities in the real world. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Reporting, Predictive Analytics, and Everything in Between (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (37 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Business decisions today are tactical and strategic at the same time. How do you respond to a competitor’s price change? Or to specific technology changes? What new products, markets, or businesses should you pursue? Decisions like these are based on information from only one source: data. With this practical report, technical and non-technical leaders alike will explore the fundamental elements necessary to embark on a data analytics initiative. Is your company planning or contemplating a data analytics initiative? Authors Brett Stupakevich, David Sweenor, and Shane Swiderek from TIBCO guide you through several analytics options. IT leaders, product developers, analytics leaders, data analysts, data scientists, and business professionals will learn how to deploy analytic components in streaming and embedded systems using one of five platforms. You’ll examine: Analytics platforms including embedded BI, reporting, data exploration & discovery, streaming BI, and data science & machine learning The business problems each option solves and the capabilities and requirements of each How to identify the right analytics type for your particular use case Key considerations and the level of investment for each analytics platform
    Note: Online resource; Title from title page (viewed November 25, 2019)
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    TinyML (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Neural networks are getting smaller. Much smaller. The OK Google team, for example, has run machine learning models that are just 14 kilobytes in size—small enough to work on the digital signal processor in an Android phone. With this practical book, you’ll learn about TensorFlow Lite for Microcontrollers, a miniscule machine learning library that allows you to run machine learning algorithms on tiny hardware. Authors Pete Warden and Daniel Situnayake explain how you can train models that are small enough to fit into any environment, including small embedded devices that can run for a year or more on a single coin cell battery. Ideal for software and hardware developers who want to build embedded devices using machine learning, this guide shows you how to create a TinyML project step-by-step. No machine learning or microcontroller experience is necessary. Learn practical machine learning applications on embedded devices, including simple uses such as speech recognition and gesture detection Train models such as speech, accelerometer, and image recognition, you can deploy on Arduino and other embedded platforms Understand how to work with Arduino and ultralow-power microcontrollers Use techniques for optimizing latency, energy usage, and model and binary size
    Note: Online resource; Title from title page (viewed December 25, 2019)
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    Spotlight on Innovation : How Blockchain Will Change Your Business with Alison McCauley (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Blockchain: there’s a lot of excitement around this technology that decentralizes data, and even more opportunity. Ultimately, a business and social strategy that integrates blockchain can have a major impact on your organization, making it more efficient and increasing transparency. Recorded on January 9, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed August 1, 2019)
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    Real-time analytics at Uber : Bring SQL into everything (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven analytics to create seamless trip experiences. Uber’s analysts and engineers wanted to run real-time analytics with deep learning models. But copying data from one source to another is pretty expensive. Zhenxiao Luo explains how Uber supports real-time analytics with deep learning on the fly, without any data copying. He starts with the company’s big data infrastructure, specifically Hadoop, Spark, and Presto, and discusses how Uber uses Presto as an interactive SQL engine and deployed Hadoop Distributed File System, Pinot, MySQL, and Elasticsearch as storage solutions. He then details how Uber built a Presto Elasticsearch connector from scratch to support real-time analytics on heterogeneous data. He concludes by sharing the company’s production experience and roadmap. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Raspberry Pi Cookbook, 3rd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (605 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: With millions of new users and several new models, the Raspberry Pi ecosystem continues to expand—along with many new questions about the Pi’s capabilities. The third edition of this popular cookbook provides more than 200 hands-on recipes that show you how to run this tiny low-cost computer with Linux; program it with Python; hook it up to sensors, motors, and Arduino boards; and even use it with the internet of things (IoT). Prolific hacker and author Simon Monk also teaches basic principles to help you use new technologies with the Raspberry Pi. This cookbook is ideal for programmers and hobbyists familiar with the Pi through resources such as Getting Started with Raspberry Pi (O’Reilly). Code examples from the book are available on GitHub. Set up your Raspberry Pi and connect to a network Work with its Linux-based operating system Program your Raspberry Pi with Python Give your Pi "eyes" with computer vision Control hardware through the GPIO connector Use your Raspberry Pi to run different types of motors Work with switches, keypads, and other digital inputs Use sensors to measure temperature, light, and distance Connect to IoT devices in various ways and automate your home
    Note: Online resource; Title from title page (viewed October 23, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492043218/?ar
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    Random search and reproducibility for neural architecture search (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Neural architecture search (NAS) is a promising research direction that has the potential to replace expert-designed networks with learned, task-specific architectures. Ameet Talwalkar (Carnegie Mellon University Determined AI) shares work that aims to help ground the empirical results in this field and proposes new NAS baselines that build off the following observations: NAS is a specialized hyperparameter optimization problem, and random search is a competitive baseline for hyperparameter optimization. Leveraging these observations, Ameet evaluates both random search with early-stopping and a novel random search with a weight-sharing algorithm on two standard NAS benchmarks: PTB and CIFAR-10. Results show that random search with early-stopping is a competitive NAS baseline that performs at least as well as ENAS, a leading NAS method, on both benchmarks. Additionally, random search with weight-sharing outperforms random search with early-stopping, achieving a state-of-the-art NAS result on PTB and a highly competitive result on CIFAR-10. Ameet concludes by exploring existing reproducibility issues for published NAS results, noting the lack of source material needed to exactly reproduce these results, and discussing the robustness of published results given the various sources of variability in NAS experimental setups. All information (code, random seeds, documentation) needed to exactly reproduce our results will be shared, along with random search with weight-sharing results for each benchmark on two independent experimental runs. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    OSCON 2019 - Portland, Oregon (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 160 hr., 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: OSCON Portland 2019 brought together a vibrant and diverse collection of talented speakers (open source leaders from around the globe) who do amazing things with open source technologies. This outstanding group provided the conference attendees (thousands of software developers, programmers, architects, engineers, CxOs, hackers, geeks, and analysts) with the opportunity to explore the latest open source tools and technologies; get expert in-depth training in crucial languages, frameworks, and best practices; and gain exposure to the open source stack in all its possible configurations. This video compilation offers you the chance to see and hear the best of OSCON Portland 2019. If you want to know how to build an open source culture at your company, work in a cloud environment that isn't always open source-friendly, understand how machine learning can make or break your code, or implement new technologies like Kubernetes and TensorFlow, then getting the OSCON Portland 2019 video compilation is for you. Highlights include: Complete video recordings of OSCON Portland 2019’s best keynotes, tutorials, and tech sessions offering hours of material to study and absorb at your own pace and schedule Keynotes, including Adam Jacob (Chef) on the war for the soul of open source; Kay Williams (Microsoft Azure) on lessons learned building a strong Kubernetes/VSCode open source community; Adrian Cockcroft (AWS) on leveraging cloud vendors to boost open source business success; and Pete Skomoroch (Workday) on the urgent need for a new open source ML development stack Tutorials offering deep dives into open source tech like Apache Kafka, Rust, extended Berkeley Packet Filters, Spring/Spring Boot, Ethereum DApps, Jenkins 2, Vault/Kubernetes, and Kubeflow The OSCON Business Summit: sessions offering an insider’s look at the open source implementations that have the most profound impact on business with talks by open source specialists at Uber, Pacific Life, Verizon Media, The Home Depot, Baidu, the BBC, and more Open Source do-it-now sessions, including Deb Nicholson’s (Software Freedom Conservancy) whirlwind tour of what not to do when running an open source project; Russell Rutledge’s (Nike) take on how to build an open source culture at your company; and Angie Jones (Applitools) and a panel of experts from Persea Consulting, Red Hat, Magento, and ForgeRock on the best ways to build and maintain open source communities Emerging Languages and Frameworks session...
    Note: Online resource; Title from title screen (viewed July 17, 2019)
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    The AI Organization (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (234 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Much in the same way that software transformed business in the past two decades, AI is set to redefine organizations and entire industries. Just as every company is a software company today, every company will soon be an AI company. This practical guide explains how business and technical leaders can embrace this new breed of organization. Based on real customer experience, Microsoft’s David Carmona covers the journey necessary to become an AI Organization—from applying AI in your business today to the deep transformation that can empower your organization to redefine the industry. You'll learn the core concepts of AI as they are applied to real business, explore and prioritize the most appropriate use cases for AI in your company, and drive the organizational and cultural change needed to transform your business with AI.
    Note: Online resource; Title from title page (viewed November 13, 2019)
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    Operationalizing the Data Lake (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (171 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Big data and advanced analytics have increasingly moved to the cloud as organizations pursue actionable insights and data-driven products using the growing amounts of information they collect. But few companies have truly operationalized data so it’s usable for the entire organization. With this pragmatic ebook, engineers, architects, and data managers will learn how to build and extract value from a data lake in the cloud and leverage the compute power and scalability of a cloud-native data platform to put your company’s vast data trove into action. Holden Ackerman and Jon King of Qubole take you through the basics of building a data lake operation, from people to technology, employing multiple technologies and frameworks in a cloud-native data platform. You'll dive into the tools and processes you need for the entire lifecycle of a data lake, from data preparation, storage, and management to distributed computing and analytics. You’ll also explore the unique role that each member of your data team needs to play as you migrate to your cloud-native data platform. Leverage your data effectively through a single source of truth Understand the importance of building a self-service culture for your data lake Define the structure you need to build a data lake in the cloud Implement financial governance and data security policies for your data lake through a cloud-native data platform Identify the tools you need to manage your data infrastructure Delineate the scope, usage rights, and best tools for each team working with a data lake—analysts, data scientists, data engineers, and security professionals, among others
    Note: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492049517/?ar
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    Leveraging data science in asset management (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Asset managers of all stripes are ramping up their data science capabilities. Andrew Chin and Celia Chen (AllianceBernstein) offer an overview of data science applications within the asset management industry, covering case studies spanning different functions within an asset management organization. Along the way, they look at an investment research project that used a new “big dataset” as well as a machine algorithm to create a more powerful prediction model and detail a machine learning model they developed to understand their clients better. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Learning from failure : Why a total site outage can be a good thing (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Although an outage is a terrifying prospect, you should embrace it as an opportunity. Failure can expand and improve your understanding of your systems. Three years ago, Indeed suffered one of the worst outages in its history. No single fault or failure caused this outage. Rather, it was a complex interaction of bugs, design decisions, capacity loss, and poor situational awareness during incident response. Indeed learned valuable lessons from this event. It identified ways to make the systems more resilient and improved the approach to the incident lifecycle within the engineering culture. Alex Elman uses the narrative of this incident to demonstrate how a site-wide outage can inform increased resilience and reduced operational complexity. Learning from failure is a feedback loop rather than a one-off process. He applies Indeed’s outage as a practical example of what an iteration of this loop can look like. He shares with other SREs the success that has risen from this failure. Indeed hasn’t had a global site outage in the three years since this event. Alex begins with a discussion of failure to set the stage for delivering the incident background, then discusses incident response and situational awareness. He explains conducting incident postmortems and learning from failure and designing for reliability, including resilience patterns such as circuit breaking and graceful degradation. Finally, he gets into resilience testing, running chaos tests, and closing the feedback loop, leaving some time for a question and answer session. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    iOS 13 Programming Fundamentals with Swift (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (677 pages)
    Edition: 1st edition
    Keywords: iOS (Electronic resource) ; Swift (Computer program language) ; Mobile computing Programming ; Application software Development ; Electronic books ; local ; IOS (Electronic resource) ; Swift (Langage de programmation) ; Informatique mobile ; Programmation ; Logiciels d'application ; Développement ; Application software ; Development ; Swift (Computer program language) ; Electronic books
    Abstract: Move into iOS development by getting a firm grasp of its fundamentals, including the Xcode 10 IDE, Cocoa Touch, and the latest version of Apple’s acclaimed programming language, Swift 5. 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 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 13 .
    Note: Online resource; Title from title page (viewed October 30, 2019)
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    Introducing Python, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (627 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned. You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.
    Note: Online resource; Title from title page (viewed November 13, 2019)
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    Interpretable and resilient AI for financial services (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Financial services are increasingly deploying AI models and services for a wide range of applications in the credit lifecycle, such as credit onboarding and identifying transaction fraud and identity fraud. These models must be interpretable, explainable, and resilient to adversarial attacks. In some situations, regulatory requirements apply that prohibit black-box machine learning models. Jari Koister (FICO) shares forward-looking tools and infrastructure has developed to support these needs. Topics include: Examples of financial services applications of AI and ML Specific needs for explainability and resiliency Approaches for solving explainability and resiliency Regulatory requirements and how to meet them A platform that provide support for xAI and mission-critical AI Further research and product development directions This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    NLP from scratch : Solving the cold start problem for natural language processing (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Unstructured data in the form of documents, web pages, and social media interactions is an ever-growing, ever-more valuable data source for addressing present business problems, from exploring brand sentiment to identifying sensitive information in internal documents. Unfortunately, the classification and annotation algorithms behind solving these problems often require significant amounts of labeled training data to produce desired accuracy. Michael Johnson and Norris Heintzelman (Lockheed Martin) share several techniques they’ve implemented to build classification and NER models from scratch. They lead a tour through this space as it applies to NLP and demonstrate their approach and architecture for the following techniques: Weak supervision for news documents: Using rules base classification alongside deep learning system for text classification Active learning and human in the loop: Explaining how breakthroughs in transfer learning for NLP have impacted their active learning framework for building an LSTM-based relevance model Creative training sets: Identifying and cleaning already-labeled datasets, training classifier on “only” positive examples NER adjudication: Combining knowledge from several annotation sources that leverages the strengths of each source For each of these topics, Michael and Norris outline the theoretical foundation, the implementation architecture, and tools used and discuss the problems they encountered—so you can avoid making the same mistakes.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    NGINX Unit Cookbook (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: In addition to its popular web server, NGINX now provides a dynamic application server that supports a RESTful JSON API. The open source NGINX Unit server deploys configuration changes without service disruptions and runs apps built with multiple languages and frameworks. With this handy cookbook, developers, DevOps personnel, network admins, and cloud infrastructure pros will learn how to quickly get started with this new server. Hands-on recipes demonstrate NGINX Unit’s new approach and describe how to deploy and configure the server for different applications. You’ll learn how the comprehensive RESTful API simplifies configuration, how to run applications written in different languages on the same server, and how to use NGINX Unit as the foundation for your service mesh. Recipes in this ebook will help you: Install NGINX Unit using source code, Red Hat- and Debian-based systems, or third-party repositories Configure the server using application, router, and listener objects Explore NGINX Unit usage and operations, including application restart and upgrades Learn how the server provides security through application isolation, Unix user permissions, and API encryption Integrate NGINX Unit with the WordPress content management system and the Django and Express.js web application frameworks
    Note: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492054313/?ar
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    Navigating the Continuous Delivery Pipeline (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Continuous delivery (CD) is a key component of the DevOps workflow that enables you to make code changes and release new features quickly, effectively, and reliably. The CD pipeline includes six high-level stages, each with corresponding tools and processes that leverage automation to ensure fast feedback. Manual or automated handoffs trigger a new stage or process, and DevOps engineers work collaboratively through the cycle. This infographic describes the DevOps cycle and how your organization can navigate that effectively.
    Note: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492031949/?ar
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    ML at Twitter : A deep dive into Twitter's timeline (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Machine learning has allowed Twitter to drive engagement, promote healthier conversations, and deliver catered advertisements. Cibele Montez Halasz and Satanjeev Banerjee describe one of those use cases: timeline ranking. They share some of the optimizations that the team has made—from modeling to infrastructure—in order to have models that are both expressive and efficient. You’ll explore the feature pipeline, modeling decisions, platform improvements, hyperparameter tuning, and architecture (alongside discretization and isotonic calibration) as well as some of the challenges Twitter faced by working with heavily text-based (sparse) data and some of the improvements the team made in its TensorFlow-based platform to deal with these use cases. Join in to gain a holistic view of one of Twitter’s most prominent machine learning use cases. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Manipulating and measuring model interpretability (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Machine learning is increasingly used to make decisions that affect people’s lives in critical domains like criminal justice, fair lending, and medicine. While most of the research in machine learning focuses on improving the performance of models on held-out datasets, this is seldom enough to convince end users that these models are trustworthy and reliable in the wild. To address this problem, a new line of research has emerged that focuses on developing interpretable machine learning methods and helping end users make informed decisions. Despite the growing body of work in developing interpretable models, there is still no consensus on the definition and quantification of interpretability. Forough Poursabzi-Sangdeh (Microsoft Research NYC) argues that to understand interpretability, we need to bring humans in the loop and run human-subject experiments. Forough approaches the problem of interpretability from an interdisciplinary perspective built on decades of research in psychology, cognitive science, and social science to understand human behavior and trust. She describes a set of controlled user experiments in which researchers manipulated various design factors in models that are commonly thought to make them more or less interpretable and measured their influence on users’ behavior. The findings emphasize the importance of studying how models are presented to people and empirically verifying that interpretable models achieve their intended effects on end users. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
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    Machine Learning Pocket Reference (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (318 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines
    Note: Online resource; Title from title page (viewed August 29, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492047537/?ar
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  • 179
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    Lean Analytics (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (44308 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Marc Andreesen once said that "markets that don't exist don't care how smart you are." Whether you're a startup founder trying to disrupt an industry, or an entrepreneur trying to provoke change from within, your biggest risk is building something nobody wants. Lean Analytics can help. By measuring and analyzing as you grow, you can validate whether a problem is real, find the right customers, and decide what to build, how to monetize it, and how to spread the word. Focusing on the One Metric That Matters to your business right now gives you the focus you need to move ahead—and the discipline to know when to change course. Written by Alistair Croll and Ben Yoskovitz, the book lays out practical, proven steps to take your startup from initial idea to product/market fit and beyond. Packed with over 30 case studies, and based on a year of interviews with over a hundred founders and investors, the book is an invaluable, practical guide for Lean Startup practitioners everywhere.
    Note: Online resource; Title from title page (viewed February 26, 2019)
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    Distributed event-driven services : From the trenches (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In his best-selling book Patterns of Enterprise Application Architecture , Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging. A few years ago, Barclays embarked on a journey to migrate its legacy services with the objective of achieving a high level of scale, resilience, and reliability, mainly employing an ecosystem of focused, distributed services. It’s fair to say that the company has discovered through firsthand experience that there’s quite a bit of truth to that statement. Prem Chandrasekaran provides an insider scoop on Barclays’s journey deploying services to a private cloud-based infrastructure making use of foundational patterns such as domain-driven design, event-driven architecture (EDA), command query responsibility segregation (CQRS), and event sourcing, among others. Prem recounts some of the challenges faced during the transformation and sheds light on the things that worked well and those that didn’t. Topics include: How to establish buy-in with senior stakeholders and management How to recruit, onboard, and train new team members How to establish the boundaries of your teams and services How to focus on the right amount and kinds of tests in your pipelines How to ensure database and API compatibility How to centralize and externalize secrets and configuration How to diagnose and pinpoint issues in unattended, asynchronous processes How to decide between blue-green and rolling deployments How to work with private and public cloud implementations This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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  • 181
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    Kotlin Cookbook (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (204 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Kotlin is the fastest-growing "alternative" language on the JVM, and its use is becoming pervasive in Android, native applications, and other areas. Other books on Kotlin teach the language in the traditional manner. The appeal of a cookbook is that it lets you find exactly the techniques you need exactly when you need them. This book will be a daily reference for existing Kotlin developers and those programmers learning to apply the language to new areas.
    Note: Online resource; Title from title page (viewed November 5, 2019)
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  • 182
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    Kubernetes APIs under the hood (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Kubernetes provides a powerful set of APIs and abstractions for building distributed systems. Additionally, it provides users with the ability to build and install their own extension APIs alongside the core APIs. Phillip Wittrock (Google) covers how core Kubernetes APIs are designed and built and teaches the basics of writing an installable custom Kubernetes API. Phillip provides an introduction to fundamental API concepts, including resources, controllers, and reconciliation loops; then, he provides an end-to-end walkthrough, answering what happens after running “kubectl apply.” He discusses Kubernetes resource versioning, finalizers, defaulting, and validation and asynchronous and level-based controller architecture. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    DevOps and Business (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (77 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: DevOps is much more than a set of practices to eliminate silos between development and operations groups. If your company’s DevOps transformation is to succeed, you need to blur the lines between business and technology domains. This report helps engineering leaders understand what drives the business and provides best practices for aligning technology with business goals to increase efficiency and improve the bottom line. Author Leon Fayer, vice president of software development at Teaching Strategies, provides methods and techniques to help your organization improve cross-departmental processes, cooperation, and visibility. Getting IT and business groups to adopt DevOps principles will go a long way toward accomplishing that goal. This report shows you how. Use practical strategies to teach stakeholders how DevOps can provide value for the business Quantify the ROI value of DevOps implementation and culture changes Determine the best ways to position technology groups to support business outcomes Improve communication efficiency to identify mistakes and optimize service delivery Understand the importance of continuous insight into business performance Build empathy and trust by encouraging people to support common goals and solve problems together
    Note: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492036609/?ar
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  • 184
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    Designing Interfaces, 3rd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (500 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: It's not easy to design good application interfaces in a world where companies must create compelling, seamless user experiences across an exploding number of channels, screens, and contexts. Design patterns, design systems, and component-based UI frameworks have emerged and now rapidly evolve to meet the challenge. This bestselling book is one of the few reliable sources to help you navigate through the maze of design options. By capturing UI best practices and reusable ideas as design patterns, Designing Interfaces provides solutions to common design problems that you can tailor to the situation at hand. This updated edition includes patterns for mobile apps and social media, as well as web applications and desktop software. Each pattern contains full-color examples and practical design advice that you can use immediately. Experienced designers can use this guide as a sourcebook of ideas; novices will find a roadmap to the world of interface and interaction design.
    Note: Online resource; Title from title page (viewed December 25, 2019)
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    Deep learning for recommender systems, or how to compare pears with apples (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Recommender systems support the decision making processes of customers with personalized suggestions. These widely used systems influence the daily life of almost everyone across domains like ecommerce, social media, and entertainment. However, the efficient generation of relevant recommendations in large-scale systems is a very complex task. In order to provide personalization, engines and algorithms need to capture users’ varying tastes and find mostly nonlinear dependencies between them and a multitude of items. Enormous data sparsity and ambitious real-time requirements further complicate this challenge. At the same time, deep learning has been proven to solve complex tasks like object or speech recognition where traditional machine learning failed or showed mediocre performance. Join Marcel Kurovski (inovex) to explore a use case for vehicle recommendations at mobile.de, Germany’s biggest online vehicle market. Marcel shares a novel regularization technique for the optimization criterion and evaluates it against various baselines. To achieve high scalability, he combines this method with strategies for efficient candidate generation based on user and item embeddings—providing a holistic solution for candidate generation and ranking. The proposed approach outperforms collaborative filtering and hybrid collaborative-content-based filtering by 73% and 143% for MAP5. It also scales well for millions of items and users returning recommendations in tens of milliseconds. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Learning from multiagent emergent behaviors in a simulated environment (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Traditionally, determining the most efficient designs and practices—whether for determining how store merchandise should be arranged or where people and machines should be laid out in a factory floor—has required vast amounts of data and human assessment. These efficient designs can be the difference between a thriving company and a struggling one. Recent advancements in multiagent reinforcement learning within virtual environments, such as DeepMind’s Capture the Flag or Open AI’s Learning to Compete and Cooperate, have led to a novel approach for tackling efficient design and practices. Danny Lange (Unity Technologies) explains how observing emergent behaviors of multiple AI agents in a simulated virtual environment can lead to the most optimal designs and real-world practices, all without introducing human bias or the need for vast amounts of data. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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  • 187
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    Enabling insights and analytics with data streaming architectures and pipelines using Kafka and Hadoop (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In a large global health services company, streaming data for processing and sharing comes with its own challenges. Data science and analytics platforms need data fast, from relevant sources, to act on this data quickly and share the insights with consumers with the same speed and urgency. Join Mohammad Quraishi (Cigna) to learn why streaming data architectures are a necessity—Kafka and Hadoop are key. Mohammad outlines architectures centered around the Hadoop Platform and Kafka that were implemented to support a variety of integration and analytics requirements. Topics include: Enabling streaming to and from relational sources and files using custom frameworks that automate and speed up workflows Combining the polyglot techniques with Kafka API to support various streaming solutions Combining data driven techniques to support consumers through a simple streaming architecture and microservices How HBase, Kudu, and Kafka Streams are used to reduce latency between these microservices and frontend application APIs Enabling the consumption and sharing of data sources and results using streams Enabling Spark Structured Streaming, Flink, and Spark ML on these streams Enabling data sync between on-premises data lakes and the cloud Supporting cloud native architectures that enable machine learning in the cloud This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Choreographing microservices (San Jose, CA) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Choreographed microservices talk to each other asynchronously, blindly broadcasting notifications into a service cloud. Those notifications are handled by whatever client services are interested. These systems eliminate many of the problems associated with orchestrated systems (which work more like synchronous function calls) and are typically much faster than orchestrated systems, but they have their own idiosyncrasies and implementation challenges. Allen Holub explores the inherent problems in orchestrated systems and then looks at how choreography can solve those problems. Allen explores three approaches to choreography: HTTP based, pub/sub messaging based, and brokerless swarming systems. He introduces appropriate messaging architectures and frameworks and looks at several practical examples. Finally, Allen looks at event storming: one of the best approaches to designing choreographed systems. You’ll leave with an understanding of both why you should be using choreography for most high-level APIs and how to design and build these systems. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Getting Started with Enterprise Blockchain (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (84 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Blockchains have many uses beyond cryptocurrencies such as Bitcoin. These shared, distributed ledgers also enable businesses to record transactions between parties in an efficient, verifiable, and permanent manner—unlike traditional methods. Using a blockchain in business can still pose numerous challenges, however. This ebook explains how developers can establish a blockchain network to handle business-to-business transactions while maintaining privacy and confidentiality. Members of IBM’s global blockchain team show you how to start using these open, distributed ledgers to add value to your business networks. Unlike simple ledgers and contracts, blockchains offer irrefutable proof that all parties involved in a transaction agree to the details—creating a source of truth that today’s conventional business-to-business systems lack. You’ll learn: How blockchains for business provide a shared, distributed ledger with smart contracts How to identify and implement the scenarios for which blockchain is most suited What developers need to know about enterprise blockchain The important design and architectural considerations when building a blockchain-based platform How chaincode encapsulates business logic to define assets and the terms of transactions How to implement a blockchain application based on a commercial paper case study What the future holds for blockchain
    Note: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492052715/?ar
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    Bringing data to life : Combining machine learning and art to tell a data story (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Analytics and AI are powerful methods for extracting insights hidden in data. However, these methods by themselves cannot convey insights. Visualization is a key requirement for explaining analytical findings, but visualizations such as graphs and charts are not always enough to explain data, especially to a nontechnical audience. This audience may need a different approach to connect with the data. Nancy Rausch (SAS Institute) shares a case study for a project that combined machine learning and art to tell a big data story. She explains how she and her team collected and prepared IoT streaming data from a solar array farm, applied an analytical model to forecast future output, and then visualized the results for general audiences using interactive art. They also used artificial intelligence and natural language processing to allow visitors to interact with the art installation. The project brought solar array technology to life in a way that was able to engage and delight visitors of all ages and backgrounds. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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  • 191
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    iPhone : The Missing Manual, 13th Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (719 pages)
    Edition: 13th edition
    Keywords: Electronic books ; local
    Abstract: The iPhone 11, 11 Pro, 11R, and 11Max are faster than ever and have more powerful cameras. With the latest edition of this bestselling guide, you get a funny, gorgeously illustrated guide to the tips, shortcuts, and workarounds that will turn you into an iPhone master. Written by David Pogue—Missing Manual series creator, New York Times columnist, and Emmy-winning tech correspondent for CNBC, CBS, and NPR—this update shows you everything you need to know about new iPhone features and the iOS 13 user interface. Pick up this beautiful full-color book and learn how to get the most out of your iPhone.
    Note: Online resource; Title from title page (viewed November 5, 2019)
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    From flat files to deconstructed databases : The evolution and future of the big data ecosystem (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Over the past 10 years, big data infrastructure has evolved from flat files in a distributed filesystem to an efficient ecosystem to a fully deconstructed and open source database with reusable components. With Hadoop, we started from a system that was good at looking for a needle in a haystack using snowplows. We had a lot of horsepower and scalability but lacked the subtlety and efficiency of relational databases. But since Hadoop provided the ultimate flexibility compared to the more constrained and rigid RDBMSs, we didn’t mind and plowed through. However, machine learning, recommendations, matching, abuse detection, and data-driven products in general require a more flexible infrastructure. Over time, we started applying everything that had been known to the database world for decades to this new environment. We’d been told loud enough how Hadoop was a huge step backward. And it was true to some degree. The key difference was the flexibility of the Hadoop stack. There are many highly integrated components in a relational database and decoupling them took some time. Today, we see the emergence of key components, such as optimizers, columnar storage, in-memory representation, table abstraction, and batch and streaming execution, as standards that provide the glue between the options available to process, analyze, and learn from our data. We’ve been deconstructing the tightly integrated relational database into flexible reusable open source components. Storage, compute, multitenancy, and batch or streaming execution are all decoupled and can be modified independently to fit every use case. Julien Le Dem (WeWork) discusses the key open source components of the big data ecosystem—including Apache Calcite, Parquet, Arrow, Avro, and Kafka as well as batch and streaming systems—and explains how they relate to each other and how they make the ecosystem more of a database and less of a filesystem. (Parquet is the columnar data layout to optimize data at rest for querying. Arrow is the in-memory representation for maximum throughput execution and overhead-free data exchange. Calcite is the optimizer to make the most of our infrastructure capabilities.) Julien also explores the emerging components that are still missing or haven’t become standard yet to fully materialize the transformation to an extremely flexible database that lets you innovate with your data. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Fraud detection without feature engineering (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In many industrial ML applications, feature engineering consumes the lion’s share of time, energy, and resources. Deep learning promises to replace feature engineering with models that learn end to end from “close-to-reality” data and has convincingly realized this promise for computer vision and natural language processing. But does this promise apply outside of these domains? Pamela Vagata (Stripe) explains how Stripe has applied deep learning techniques to predict fraud from raw behavioral data. Since fraud detection is a critical business problem for Stripe, the company already had a well-tuned feature-engineered model for comparison. Stripe found that the deep learning model outperforms the feature-engineered model both on predictive performance and in the effort spent on data engineering, model construction, tuning, and maintenance. Join in to discover how common industry practice could shift toward deeper models trained end to end and away from labor-intensive feature engineering. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Expert Playlist Intro : Lessons from Amazon, Google, Apple and Other Silicon Valley Giants (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In this brief introduction to Tim O'Reilly's Expert Playlist , find out why he selected these pieces to study how some of the most advanced companies on the planet not only use technology but build their culture to support it.
    Note: Online resource; Title from title screen (viewed August 25, 2019)
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    Expert Playlist Intro : Learn How To Write A Great Technical Book, By Example (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In this brief introduction to Tim O'Reilly's Expert Playlist , find out why he selected these books as great examples of how to write a technical book.
    Note: Online resource; Title from title screen (viewed August 25, 2019)
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    Disrupting data discovery (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Before any analysis can begin, a data scientist needs to discover the right data sources to analyze, understand them, and determine whether they can trust them. Unfortunately, data discovery is very inefficient today. Countless hours are lost trying to find the right data to use. (The most common way still remains to ask a coworker.) Gaining trust in data requires running a bunch of queries (max timestamp, counts per day, count distincts, etc.) that waste time and add unnecessary load on the databases. There’s no clear way to know how to find folks to answer questions about the table. And worst of all, many times analysis is redone and models are rebuilt because previous work isn’t discoverable. Lyft has reduced the time it takes to discover data by 10x by building its own data portal, Amundsen. Amundsen is built on three key pillars: an augmented data graph, an intuitive user experience, and centralized metadata. Amundsen uses a graph database under the hood to store relationships between various data assets (tables, dashboards, protobuf events, etc.). What’s unique to Amundsen is that it treats people as a first-class data asset; in other words, there’s a graph node for each person in the organization that connects to other nodes (like tables, and dashboards). In addition, Amundsen runs PageRank using data from access logs to power search ranking, similar to how Google ranks web pages on the internet. Finally, Amundsen gathers metadata from various different sources (Hive, Presto, Airflow, etc.) and exposes it in one central place. The right place to store all this metadata is a work in progress. Mark Grover and Tao Feng (Lyft) offer a demo of Amundsen and lead a deep dive into its architecture, covering how it leverages centralized metadata, page rank, and a comprehensive data graph to achieve its goal. They also explore the future roadmap, unsolved problems, and its collaboration model. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    O'Reilly TensorFlow World 2019 - Santa Clara, CA (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We’ll make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference. Open source TensorFlow 2.0 is driving the machine learning (ML) revolution around the globe. The TensorFlow World Conference Santa Clara 2019—the first international conference devoted to TensorFlow—provided the thousands who attended the conference with an extraordinary opportunity to see TensorFlow 2.0 in action, discover new ways to use it, and learn how to successfully implement it in their own enterprises. This video compilation offers you the chance to experience the TensorFlow World Conference yourself. If you get it and explore it, you’ll come away with a firm understanding of the entire machine learning stack, TensorFlow 2.0, and the reasons why companies like Spotify, LinkedIn, Amazon, Twitter, and Uber use TensorFlow to solve complex business problems. Highlights include: A front row view for all of the best keynotes, tutorials, and technical sessions from the TensorFlow World Conference Santa Clara 2019. Complete presentations from some of the world’s top TensorFlow practitioners, including talks by the people and teams who developed TensorFlow. Keynote addresses from TensorFlow’s leaders, such as Google Brain co-founder Jeff Dean; Theodore Summe, the head of product for Cortex, Twitter’s central ML organization; and Megan Kacholia, VP of Engineering for Google Research. Deep-dive tutorials, including Laurence Moroney’s (Google Brain) primer on ML with TensorFlow; Sandeep Gupta’s (Google) review of ML in JavaScript using TensorFlow.js; and Neelima Mukiri’s (Cisco) intro to model building and optimization for TensorFlow in any Kubernetes environment. Applications sessions focusing on real-world TensorFlow implementations, like Asif Hasan’s (Quantiphi) talk on using ML to both predict cancer recurrence and recommend treatment; Bhushan Jagyasi’s (Accenture) survey of TensorFlow successes in banking and insurance; and Hamel Husain’s (GitHub) review of automating developer workflows on GitHub with TensorFlow. Core Technologies sessions, where you’ll hear directly from TensorFlow team members such as Paige Bailey (Google) on TensorFlow Swift, a next-generation ML platform; Raziel Alverez (Google) on TensorFlow model optimization techniques; and Robby Neale (Google) on how to build models with tf.text. Accelerators sessions, including Victoria Rege (Graphcore) on h...
    Note: Online resource; Title from title screen (viewed November 1, 2019)
    URL: lizenzpflichtig
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    O'Reilly Software Architecture Conference 2019 - San Jose, California (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 63 hr., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The O'Reilly Software Architecture Conference San Jose 2019 (SACON) gathered the world's leading software architects and engineers to give presentations on software architecture's most useful technologies, trends, and techniques. This video compilation gives you complete access to the best of SACON's keynotes, tutorials, and technical sessions. It contains hours of material to review and study at your own pace. Whether you are optimizing legacy systems or migrating to cloud native architecture, this compilation from SACON San Jose 2019 offers you the insights and training you need to get to the next level. Highlights include: Contains hours of video recordings from the best of SACON San Jose 2019's keynotes, tutorials, and technical sessions. 3.5 hour tutorials like Christian Hernandez's (Red Hat) hands-on introduction to Kubernetes and OpenShift; Nathaniel Schutta's (Pivotal) deep dive into trade-off analysis and how to use it to strategically choose the correct technology for your projects; and Valentina Rodriguez's (Independent) reveal of the twelve essential principles of architecture design in Agile environments. Keynotes from Rebecca Wirfs-Brock (Wirfs-Brock Associates), Michael Feathers (R7K Research and Conveyance), Adam Tornhill (Empear), Rebecca Parsons (ThoughtWorks), and Neal Ford (ThoughtWorks). Application Architecture sessions, such as Stefania Stefansdottir's (ThoughtWorks) walk through of the practices all new architects and tech leads should keep in mind when starting a new project; Ian Varley (Salesforce) on spotting and correcting the cognitive biases that undermine your software architecture; and Andrew Bonham and Thiagarajan Subramanian's (Capital One) review of how to use reactive architecture and microservices, machine learning, H20, Akka, and Kafka. Microservices sessions, including Kasun Indrasiri's (WSO2) in-depth overview of common microservice resiliency patterns such as timeout, retry, circuit breaker, fail-fast, bulkhead, transactions, and more; Nathaniel Schutta (Pivotal) on the factors used to decide if something deserves to be a microservice or not; and Samir Behara (EBSCO) on building scalable microservice architectures with Envoy, Kubernetes, and Isti. Enterprise Architecture sessions, including Heidi Waterhouse (Launch Darkly) on the smartest ways to achieve build-versus-buy decisions; Cat Swetel (Ticketmaster) on using value network mapping and real options theory to evolve monolithic software; and Paula ...
    Note: Online resource; Title from title screen (viewed June 13, 2019)
    URL: lizenzpflichtig
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    O'Reilly Software Architecture Conference 2019 - Berlin, Germany (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 49 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We’ll make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference. Thousands of software architects, aspiring software architects, senior developers, system leads, tech leads, software engineers, data architects, and tech team managers came together at O’Reilly Media’s Software Architecture Conference Berlin 2019 to learn how to design, build, and improve the architectures that are the foundation of all modern software systems. Who did the attendees learn from? They learned from experts like senior software architect Carola Lilienthal (Workplace Solutions), a 30-year software engineering vet, who broke down the causes and costs of technical debt and then outlined the ways to eliminate it. And they learned from site reliability expert Jibby Ayo-Ani (Welkin) as she described Google’s BeyondCorp, a new enterprise security model in cloud computing that every software architect needs to understand. These speakers and gave SACON Berlin 2019’s attendees what they hoped to receive: The knowledge and insights required to become the best software architects they could be. Get this video compilation of SACON Berlin 2019 and you’ll gain the opportunity to increase your skill set and move forward in your software architecture career. Highlights include: Complete video coverage of SACON Berlin 2019’s best keynotes, tutorials, and technical sessions—this compilation contains hours of SACON talks to study and absorb at your own pace and schedule. Keynote addresses from software architecture’s most incisive thinkers, including Bosatsu Consulting President Brian Sletten, ThoughtWorks principal technology consultant Zhamak Dehghani, and the Cloud Native Computing Foundation’s Director of Ecosystem, Cheryl Hung. Hands-on tutorials covering subjects like reusable information architecture; event storming for domain-driven design modeling; and building, specifying, and testing APIs with microservices. Application Architecture sessions, including Patrick Kua (Chief Scientist, N26) on scaling out architectural decision-making during rapid growth; Vladik Khononov (Chief Architect, Naxex) on DDD’s most common mistakes; and Paddy Fagan (Chief Architect, IBM Watson Care Manager) on implementing continuous architectural refactoring in a SaaS offering. Distributed Systems sessions, such as on the need for autonomous APIs in a landscape of impossibly complex distribu...
    Note: Online resource; Title from title screen (viewed November 6, 2019)
    URL: lizenzpflichtig
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    Deep learning for time series data (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Arun Kejariwal (Independent) and Ira Cohen (Anodot) share a novel two-step approach for building more reliable prediction models by integrating anomalies in them. The first step uses anomaly detection algorithms to discover anomalies in a time series in the training data. In the second, multiple prediction models, including time series models and deep networks, are trained, enriching the training data with the information about the anomalies discovered in the first step. Anomaly detection for individual time series is a necessary but insufficient step due to the fact that anomaly detection over a set of live data streams may result in anomaly fatigue, thereby limiting effective decision making. One way to address the above is to carry out anomaly detection in a multidimensional space. However, this is typically very expensive computationally and hence not suitable for live data streams. Another approach is to carry out anomaly detection on individual data streams and then leverage correlation analysis to minimize false positives, which in turn helps in surfacing actionable insights faster. They then walk you through marrying correlation analysis with anomaly detection, discuss how the topics are intertwined, and detail the challenges you may encounter based on production data. They also showcase how deep learning can be leveraged to learn nonlinear correlation, which in turn can be used to further contain the false positive rate of an anomaly detection system. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
    URL: lizenzpflichtig
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