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  • Safari, an O’Reilly Media Company.  (309)
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  • Electronic videos ; local  (382)
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  • 1
    Online Resource
    Online Resource
    Infrastructure & Ops Superstream Series : CI/CD (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 12 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The combination of modern distributed architectures and cloud environments offers powerful solutions for delivering applications that quickly yield business value. . .and increased complexity. Moving quickly and not breaking things means that you need deployment pipelines. How do you ensure your releases don’t bring down production? Enter CI (continuous integration) and CD (continuous delivery), which greatly improve visibility of the quality of your software while also greatly reducing the time taken between releases. Join us to learn how CI/CD can help you achieve new levels of velocity, agility, reliability, and efficiency in your projects and systems. About the Infrastructure & Ops Superstream Series: This five-part series of half-day online events details what you need to know to effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures—with no interruption to your business. Each event day covers some of the most challenging and promising topics facing those working in infrastructure and operations today: continuous integration and delivery, cloud delivery, Kubernetes, microservices, and security. What you'll learn-and how you can apply it Understand what tools work best for CI/CD and cloud native Learn how CI/CD works in the deployment pipeline Discover how infrastructure as code can help you deliver services to your users This Superstream is for you because... You’re a developer looking to discover the advantages of CI/CD. You want to better understand infrastructure as code. You work in a cloud native environment and want to learn which CI/CD tools work best with this extra complexity. You want to better incorporate testing and automation in your CI/CD pipeline. Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Infrastructure as Code , second edition (book) Read Building Microservices , second edition (book) Read What Is DevOps? (report)
    Note: Online resource; Title from title screen (viewed February 2, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Infrastructure & Ops Hour : Kubernetes Complexity with Katie Gamanji (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on Kubernetes with Sam Newman and Katie Gamanji, the ecosystem advocate for the CNCF. They’ll discuss how to manage some of the complexity in your Kubernetes cluster and share fascinating aspects of the discipline, interesting convergence areas, and insights intended to help you learn how to approach the most challenging aspects of building and managing evolving software needs. This is your chance to ask Sam and Katie anything you want about Kubernetes and their own career journeys. They’ll spend a few minutes covering the trends that are influencing infrastructure and operations, then tell you what you need to know to stay ahead of the curve. What you'll learn-and how you can apply it Understand why Kubernetes is needed Discover how to manage the complexity in your Kubernetes cluster See what’s coming next for infrastructure and ops This training course is for you because... You want the chance to ask Sam Newman and Katie Gamanji your questions around working using Kubernetes tools. You’re looking for ways to use Kubernetes to support your production goals. You want to become well-versed in the foundations and best practices of pipeline creation and deployment. Prerequisites Come with your questions for Sam Newman and Katie Gamanji Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up Read Kubernetes: Up and Running , second edition (book) Read Programming Kubernetes (book) Read Kubernetes Best Practices (book) Take Kubernetes in 3 Weeks: Parts I and II (live online training course with Jonathan Johnson) Take Building and Managing Kubernetes Applications (live online training course with Sébastien Goasguen)
    Note: Online resource; Title from title screen (viewed April 14, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Infrastructure & Ops Superstream Series : Cloud Engineering for Operations (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: While cloud isn’t a new technology, the move to the cloud has accelerated...and has become increasingly complex. Ops engineers need to build new skills and knowledge: What are the pain points of moving to the cloud, and how do security and safety change? And how do you give power to developers while still ensuring secure and reliable deployments? Join us for a Superstream on the cloud, with sessions covering everything from strategy to security and automation. About the Infrastructure & Ops Superstream Series: This five-part series of half-day online events details what you need to know to effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures—with no interruption to your business. Each event day covers some of the most challenging and promising topics facing those working in infrastructure and operations today: continuous integration and delivery, cloud delivery, Kubernetes, microservices, and security. What you'll learn-and how you can apply it Understand how data works in the cloud See what tools work best for cloud native CI/CD Learn configuration management strategies to increase system robustness Discover strategies to help ensure a successful cloud native transformation Explore secret change management techniques and tools This Superstream is for you because... You’re a developer looking to better understand the skills needed to work on infrastructure in the cloud. You want to better understand cloud providers and security options. You work in a cloud native environment and want to understand how CI/CD tools work best with this extra complexity. You want to learn more about testing and automation in the cloud. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Practical Process Automation (book) Read Cultivating Cloud Outcomes (early release book) Read 97 Things Every Cloud Engineer Should Know (book) Read " Patterns for Development and Process " (chapter 9 in Cloud Native Transformation )
    Note: Online resource; Title from title screen (viewed April 7, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Architectural Katas, April – May 2021 (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: About Architectural Katas: What could be better than practicing software architecture with your handpicked dream team of architects? Participants in Architectural Katas, moderated by Neal Ford, work together virtually in small groups of their choosing to solve a challenge an actual organization is facing. Everyone gets the chance to practice their craft with a real software architecture problem in a safe and social environment, and the finalists and winners earn well-deserved bragging rights (not to mention an intriguing line on their résumé). Plus a selected organization working for social good will have some of its gnarliest software architecture problems solved. What you'll learn-and how you can apply it Identify and design architectural components Explore techniques to analyze and select the right architecture patterns Learn how to diagram and document an architectural solution Develop better communication skills to champion architecture decisions to developers and stakeholders This training course is for you because... You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. You're responsible for creating a software architecture for your company, and you want to practice with a real-world challenge. Prerequisites Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Building Microservices , second edition (book) Read Building Evolutionary Architectures (book) Read Building Event-Driven Microservices (book)
    Note: Online resource; Title from title screen (viewed April 21, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Software Architecture Superstream Series : Mastering Your Microservices Stack (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for four hours of sessions focusing on the tools that are most useful when moving to a microservice style architecture. You’ll learn how APIs, patterns, and Agile methods can lead to more successful migrations to microservices, ensuring you can make the move in a way that doesn’t disrupt your current business. About the Software Architecture Superstream Series: This six-part series of half-day online events focuses on the hottest topics in software architecture, giving you the insights to keep pace with what’s next while still accommodating legacy needs. Both seasoned software architects and those looking to break into the field will learn new skills and the latest information on the tools and technologies they need to succeed. What you'll learn-and how you can apply it Explore best practices for optimizing work for distributed systems Learn how to use the STAR method to migrate your infrastructure to a microservices platform—without interrupting your IT services Dive into the saga pattern, an approach for handling database transactions that span multiple requests Understand how to use Agile methods to implement your microservices Hear from a company that decided to ditch non-production environments—and discover whether this approach might work for you Recognize patterns for distributed systems, then use them to better understand and communicate distributed system design This Superstream is for you because... You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. You want to learn tips, techniques, and best practices for how to succeed with a microservices architecture. Prerequisites Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Building Microservices , second edition (book) Read Building Evolutionary Architectures (book) Read Building Event-Driven Microservices (book)
    Note: Online resource; Title from title screen (viewed May 19, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Meet the Expert : Ben Sigelman on Observability’s ROI (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: It seems like everyone is selling “observability” these days. And companies are buying! But for many software organizations, the cost of observability is growing much more quickly than the benefits it delivers. In this Meet the Expert, Ben Sigelman draws on his experiences building out the core observability functions at Google, cocreating and shepherding both OpenTelemetry and OpenTracing. Working in the field as Lightstep’s founder and CEO, Ben examines why the current ROI for observability is lacking. You’ll learn the critical distinction between observability and telemetry, explore the fundamental cost structures underlying each, and discover how to reframe observability to make some of the most powerful and transformative benefits accessible to the entire organization—not just the experts. Recorded on May 25, 2021. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed May 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Software Architecture Hour with Neal Ford : Distributed Systems with Vanya Seth (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation with Neal Ford and his guest, Vanya Seth, where they will talk about their experience of building enterprise event driven systems and elaborate on the fallacies of building and adopting such systems. Learn how they have successfully moved large enterprise systems to distributed architecture styles and what hurdles they faced along the way. What You Will Learn: What’s coming next with Software Architecture This event is for you if… You want the chance to ask Neal Ford and Vanya Seth your questions about working with Distributed Systems You are currently looking for how to move your current architecture to a distributed architecture and want to learn more about the challenges and advantages Recommended follow up Read Fundamentals of Software Architecture (book) Read Concurrency and Scalability for Distributed Systems (early release book) Read Designing Distributed Systems (book) View Software Architecture Fundamentals Beyond the Basics (video) Attend Software Architecture Superstream Series: Software Architecture Fundamentals 2021 Attend Architecture: The Hard Parts (live online training)
    Note: Online resource; Title from title screen (viewed July 8, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Infrastructure & Ops Hour with Sam Newman : Cloud Providers and Sustainability with Anne Currie (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on sustainability with Sam Newman and longtime technologist Anne Currie. They’ll discuss cloud providers and the environmental impact of software, how an individual developer’s choices can impact sustainability, and the trends that are impacting organizations’ deployment practices and culture. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around sustainability See what’s coming next for infrastructure and ops This course is for you because… You have questions about limiting the environmental impact of your technology choices. You’re looking for ways to improve your cloud environment to support your production goals. You want to become well-versed in the foundations and best practices of pipeline creation and deployment. Recommended follow-up: Read Design Patterns for Cloud Native Applications (book) Read Cloud Native Transformation (book) Read 97 Things Every Cloud Engineer Should Know (book)
    Note: Online resource; Title from title screen (viewed July 7, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Meet the Expert : Jim Kalbach on New Directions in Mapping Experiences (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Over the past decade, mapping experiences—a design and marketing technique that attempts to capture an experience in a diagram—has entered the mainstream. Stakeholders are now asking for things like customer journey maps by name, even if they don’t know exactly what they’re requesting. To keep up with demand, the field, along with associated areas such as experience design, service design, and customer experience management, is maturing quickly, bringing with it a number of necessary changes. Join us for this edition of Meet the Expert with Jim Kalbach. You’ll get an overview of experience mapping fundamentals and explore five trends shaping the field today: facilitation as a core part of mapping, increased focus on multichannel experiences, the rise of mapping as a management activity, the inclusion of employee experience, and the application of experience mapping outside of commercial settings. What you’ll learn and how you can apply it By the end of this live show, you’ll better understand: Core concepts in mapping experiences Key trends and changes to the field The future outlook and where the field might be heading This course is for you because… You want to learn about the fundamental shifts that are transforming the business landscape and customer needs. You want to stay current in new skills related to customer journey mapping, service blueprinting, and similar techniques. Recommended follow-up: Read Mapping Experiences , second edition (book), especially chapter 11, “ Customer Journey Maps ” Read Rapid Techniques for Mapping Experiences (report)
    Note: Online resource; Title from title screen (viewed June 2, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Open Source Software Superstream Series : Java (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Java’s been around for over a quarter of a century now, but it remains dominant in the world of programming due to its portability, speed, and security. Yet with today’s increased reliance on cloud computing and distributed systems, the language must keep changing to keep pace. In this Superstream event, Java Champions and other experts offer perspectives on topics from concurrency to functional programming, giving insight into how Java is keeping up with the cloud and beyond.
    Note: Online resource; Title from title screen (viewed July 29, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Open Source Software Superstream Series : Python—Tips and Tricks, Machine Learning, and What’s New in 3.9 and Beyond (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Python is the most popular language for data science and machine and deep learning, and it’s become a favorite among web developers due to its versatility, vast library ecosystem, and high-performance applications. Python's many new features will ensure it remains the language of choice for these robust communities, even as we approach its 30-year anniversary. Join members of the Python community as they share expert perspectives on topics ranging from machine learning to microservices. Discover how to implement Python’s newest features to optimize performance and take your Python code to the next level. About the OSCON Superstream Series: Each day in the four-part OSCON Superstream Series covers a different programming language and its ecosystem, with unique sessions including keynotes from language luminaries, debates on controversial topics, and hands-on coding talks. And they’re packed with insights from innovators and the latest tools and technologies to help you stay ahead of it all. What you'll learn-and how you can apply it Explore Python’s newest features Understand how Python can be applied in machine learning Learn how to use gRPC with polyglot technologies including Python Implement Python’s newest features to optimize performance This Superstream is for you because... You’re a Python developer looking to improve your skills and awareness of new practices and technologies. You’re a developer in another programming language and are curious about how Python can improve the performance of your applications. You’re an experienced developer who wants to learn new tools and techniques from expert programmers and software developers. Prerequisites: ,/p〉 Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration
    Note: Online resource; Title from title screen (viewed February 3, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    Meet the Expert : Jennifer Yang on Applying Machine Learning Techniques for Data Quality Management (2021)
    [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: Traditional rule-based data quality management methodology is costly and hard to scale in the big data environment. It requires subject matter experts within business, data and technology domains. Machine learning techniques for data quality management enable cost-effective and scalable ways to manage data quality for a large amount of data. This presentation will discuss a use case that demonstrates how machine learning techniques can be used in data quality management on a big data platform in the financial industry. Join us for this edition of Meet the Expert with Jennifer Yang to learn how machine learning techniques can be used in the data quality management processes in the financial industry. Jennifer will describe: Results of applying various machine learning techniques in the four most commonly defined data validation categories will be presented. Approaches to operationalize the machine learning data quality management solution. Lessons learned will be discussed to help the audience take on their own data quality management journey using machine learning techniques. O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed January 20, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 13
    Online Resource
    Online Resource
    Software Architecture Hour : Mature Microservices (2021)
    [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: Join us for a special conversation on software architecture with Neal Ford and Sarah Wells, covering the fascinating aspects of the discipline, interesting convergence areas, and insights on how to approach the most challenging aspects of building and managing evolving architectural needs. This is your chance to ask Neal and Sarah anything you want about architecture or their own career journeys. They’ll spend a few minutes covering the trends in microservices that are influencing architecture right now, then tell you what you need to know to stay ahead of the curve. What you'll learn-and how you can apply it Explore the uses of a microservices architecture What’s coming next with software architecture This training course is for you because... You want the chance to ask Neal Ford and Sarah Wells your questions around working long-term with a microservices architecture. You’re looking for ways to use microservices to support your businesses goals. You want to become well-versed in the foundations and best practices of microservices. Prerequisites: Come with your questions for Neal Ford and Sarah Wells Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Fundamentals of Software Architecture Read Building Microservice, 2E Read Building Event-Driven Microservices
    Note: Online resource; Title from title screen (viewed March 9, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 14
    Online Resource
    Online Resource
    Meet the Expert : Barr Moses on Eliminating Data Downtime (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Ever had your CEO look at a report and say the numbers look way off? Has a customer ever called out incorrect data in one of your product dashboards? If this sounds familiar, data reliability should be the cornerstone of your data strategy. In this talk, Barr Moses will introduce the concept of “data downtime” — periods of time when data is partial, erroneous, missing or otherwise inaccurate. Data downtime is highly costly for organizations, yet is often addressed ad hoc. The solution? Data observability, an approach to tackling data downtime that leverages core principles of software engineering. We’ll discuss why data downtime matters to the data industry and share data observability tactics best-in-class organizations use to address it. Join us for this edition of Meet the Expert with Barr Moses to learn how to address data downtime and make observability a pillar of your data strategy. O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed March 1, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 15
    Online Resource
    Online Resource
    Infrastructure & Ops Hour : GitOps (2021)
    [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: Join us for a special conversation on GitOps with Sam Newman and Weaveworks founder Alexis Richardson. They’ll share what led to the need for GitOps, fascinating aspects of the discipline, and interesting convergence areas—along with insights that will help you approach the most challenging aspects of building and managing evolving architectural needs. This is your chance to ask Sam and Alexis anything you want about GitOps, Kubernetes, or their own career journeys. They’ll spend a few minutes covering the trends that are influencing infrastructure and operations, then tell you what you need to know to stay ahead of the curve. What you'll learn-and how you can apply it Explore the origins of GitOps and understand why it’s needed See what’s coming next for infrastructure and ops This training course is for you because... You want the chance to ask Sam Newman and Alexis Richardson your questions around working using GitOps. You’re looking for ways to use GitOps to support your production goals. You want to become well versed in the foundations and best practices of pipeline creation and deployment. Prerequisites: Come with your questions for Sam Newman and Alexis Richardson Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Building Microservices , second edition (book) Read Version Control with Git , second edition (book) Read Kubernetes: Up and Running , second edition (book) Watch “ GitOps 101 ” (conference session) Attend GitOps First Steps (live online training course with Ian Miell) Attend Git Next Steps (live online training course with Raju Gandhi)
    Note: Online resource; Title from title screen (viewed March 9, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 16
    Online Resource
    Online Resource
    AI Superstream Series : AI & ML in Production (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: One of the most consistent challenges for ML engineers is how to move from model to production. Join us for a day of sessions dedicated to making the most of AI in your company. You’ll learn about everything from scaling to deployment and from pipeline to model decay—straight from our experts. About the AI Superstream Series: This four-part series of half-day online events is packed with insights from some of the brightest minds in AI. You’ll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive, and learn to leverage AI to drive real business results. What you'll learn-and how you can apply it Understand how MLOps can help you evolve from manually building models Learn how to use PyTorch to effectively deploy and scale your AI models Explore design patterns that will help you tackle problems that frequently crop up during the ML process This Superstream is for you because... You want to learn more about moving machine learning from model to production. You want to better understand MLOps. You’re interested in improving your skills in scaling, model monitoring, and deployment. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration
    Note: Online resource; Title from title screen (viewed March 17, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 17
    Online Resource
    Online Resource
    Open Source Software Superstream Series : Go—Generics, Modules, and the Future of Open Source Go Programming (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Go is now over a decade old, but that doesn’t mean it’s showing its age. As open source projects across industries have adopted Go, the language has continued to grow and change to meet their needs. Recent and forthcoming additions to the language, such as generics and modules, will alter Go programming dramatically. What do these developments mean for adoption? (Why, for example, is Go the language chosen by so many CNCF projects?) And what features do expert Go developers see as the backbone of the future of programming? Join us to hear expert insight into how the Go language is changing open source development, what makes it right for so many open source projects, and how developers can use Go’s unique new features to build secure, reliable, and efficient applications. About the OSCON Superstream Series: Each day in the four-part OSCON Superstream Series covers a different programming language and its ecosystem, with unique sessions including keynotes from language luminaries, debates on controversial topics, and hands-on coding talks. And they’re packed with insights from innovators and the latest tools and technologies to help you stay ahead of it all. What you'll learn-and how you can apply it Learn how best to approach using generics in Go code Discover how to extend Go applications Understand techniques for working in someone else’s codebase Find out what to do when concurrency goes wrong in your Go applications This Superstream is for you because... You’re a Go developer who wants to learn how newer features such as generics will affect your code and applications. You’re a software developer interested in learning more about Go as a language for developing tools, web services, or working with distributed systems. You’re an engineer, developer, or DevOps specialist looking to understand how Go is shaping observability and container management. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Take Introduction to the Go Programming Language (live online training course with Jay McGavren) Explore Understand Go (expert playlist by Jay McGavren) Read Head First Go (book) Read Concurrency in Go (book) Read Learning Go (early release book) Read Cloud Native Go (early release book) Read The Go Programming Language (book) Play in the interactive Go Sandbox
    Note: Online resource; Title from title screen (viewed April 29, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Software Architecture Hour : Architecture and AI with Tariq King (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on software architecture with Neal Ford and test.ai chief scientist Tariq King, covering the fascinating aspects of the discipline, interesting convergence areas, and insights on how to approach the most challenging aspects of building and managing evolving architectural needs. This is your chance to ask Neal and Tariq anything you want about architecture or their own career journeys. They’ll spend a few minutes covering the trends in artificial intelligence that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn-and how you can apply it Explore the uses of AI in your architecture What’s coming next with software architecture This training course is for you because... You want the chance to ask Neal Ford and Tariq King your questions around the synergy between architecture and AI. You want to better understand how AI will impact your business architecture. Prerequisites Come with your questions for Neal Ford and Tariq King Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Grokking Artificial Intelligence Algorithms (book) Read Building Event-Driven Microservices (book) Attend Software Architecture Superstream Series: Software Architecture Fundamentals (APAC) —March 18, 2021 Attend Architecture: The Hard Parts (live online training course with Mark Richards and Neal Ford) Attend Artificial Intelligence: AI for Business (live online training course with Alex Castrounis)
    Note: Online resource; Title from title screen (viewed March 9, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 19
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    Online Resource
    Software Architecture Hour : Architecture and Security with Aaron Bedra (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 55 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on software architecture with Neal Ford and security pro Aaron Bedra, covering the fascinating aspects of the discipline, interesting convergence areas, and insights on how to approach the most challenging aspects of building and managing evolving architectural needs. This is your chance to ask Neal and Aaron anything you want about architecture or their own career journeys. They’ll spend a few minutes covering the trends in security that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn-and how you can apply it Understand how to build a culture of security compliance See what’s coming next with software architecture This training course is for you because... You want the chance to ask Neal Ford and Aaron Bedra your questions around long-term cybersecurity and your architecture. You’re looking for ways to improve security to support your businesses goals. You want to learn about a holistic approach to security. Prerequisites Come with your questions for Neal Ford and Aaron Bedra Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Building Microservices , second edition (book) Read Container Security (book) Read Practical Cloud Security (book) Attend the Software Architecture Superstream: Mastering Your Microservices Stack (May 19) Attend Architecture: The Hard Parts (live online training course with Mark Richards and Neal Ford) Watch Software Architecture Superstream Series: Domain-Driven Design and Event-Driven Microservices (recorded Superstream event, 3h 29m)
    Note: Online resource; Title from title screen (viewed April 1, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 20
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    Infrastructure & Ops Hour : DevSecOps with Patrick Debois (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on Kubernetes with Sam Newman and longtime DevOps pro Patrick Debois. They’ll discuss DevSecOps best practices, how to develop a security-focused approach to your organization’s software development, and the trends that are impacting your organization’s deployment practices and culture—along with insights intended to help you learn how to approach the most challenging aspects of building and managing evolving software needs. What you'll learn-and how you can apply it Explore the origins of DevSecOps Understand why DevSecOps is needed See what’s coming next for infrastructure and ops This training course is for you because... You want the chance to ask Sam Newman and Patrick Debois your questions about using DevSecOps. You’re looking for ways to use DevSecOps to support your production goals. You want to become well versed in the foundations and best practices of pipeline creation and deployment. Prerequisites Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read DevOpsSec (report) Watch Spotlight on Cloud: DevSecOps Lessons Learned with Zane Lackey (video, 58m) Read Securing DevOps (book) Watch “ Security Is Everybody’s Job ” (recorded Superstream session with Tanya Janca) Read “ Welcome to the Agile Revolution ” (chapter 3 in Agile Application Security)
    Note: Online resource; Title from title screen (viewed May 5, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 21
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    Software Architecture Hour : Architecture Decision-Making with Michael Nygard (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on architectural decision-making with Neal Ford and software development pro Michael Nygard. They’ll introduce key concepts including architectural decisions (ADs), architecturally significant requirements (ASRs), and architectural decision records (ADRs) and explain how they’re all a part of architectural knowledge management (AKM). Take an hour to discover how keeping a record of significant decisions will help everyone who interacts with your architecture. What you’ll learn and how you can apply it Understand the benefits of keeping a record of significant architecture decisions Learn how to employ architectural knowledge management techniques See what’s coming next with software architecture This course is for you because… You have questions about documenting architecture decisions. You want to understand how architectural decision records will impact your business architecture. Recommended follow-up: Read Fundamentals of Software Architecture (book) Explore Software Architecture Fundamentals Beyond the Basics (video course) Attend Software Architecture Superstream Series: Soft Skills Are the Hardest Part (July 14) Take Architecture: The Hard Parts (live online training course with Mark Richards and Neal Ford)
    Note: Online resource; Title from title screen (viewed June 16, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 22
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    AI Superstream : Responsible AI (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for an event focused on the many aspects of designing, deploying, and maintaining responsible AI. Event chair and responsible AI expert Rumman Chowdhury offers overarching context, stitching together shorter tech talks and conversations with industry leaders. What you’ll learn and how you can apply it Discover what responsible AI includes (and what it doesn’t) See what responsible AI looks like in action, from data to deployment to debugging Learn how to debug your ML model Explore real-world applications of responsible AI Understand what industry leaders think about when they think about responsibility This course is for you because… You're a machine learning engineer or data scientist interested in responsible AI. You’re engaged in conversations about ethics and AI. You're wondering how to improve your own AI and machine learning. You're responsible for implementing fair or ethical AI practices in your role or project and looking for hands-on examples. Recommended follow-up: Read Responsible Machine Learning (report) Read AI and the Law (report) Read Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (book)
    Note: Online resource; Title from title screen (viewed June 16, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 23
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    Infrastructure & Ops Superstream Series : Microservices & DevOps (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The main reason to pick a microservice architecture is the ability to change things independently. It means getting fixes and updates to software live more quickly, but it can also help improve your organizational autonomy. In these sessions you’ll learn how microservices allow you to own more of the lifecycle of your software, create more products, and get them out faster.
    Note: Online resource; Title from title screen (viewed July 28, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 24
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    Strata Data Superstream Series : Data Warehouses, Data Lakes, and Data Lakehouses (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Storing, processing, and moving data in the cloud efficiently and cost-effectively is a must for working with today’s enormous datasets. Data lakes answered the problem of silos found in many data warehouses. But as the pendulum swings back, there's a growing need for an additional solution that combines the strengths of both models, a need that’s led to the emergence of the data lakehouse. But with the number of data storage systems available, it can be hard to figure out which option is right for you. In this event, you'll gain insights on how to increase the scalability, speed, and availability of your data, along with best practices for utilizing your data warehouse, data lake, or data lakehouse. Join in to learn how to make the right decisions for your particular use case. What you’ll learn and how you can apply it Get an overview of the latest technologies for storing and managing your data Learn how to build a performant and scalable data lake Explore design considerations to make your data warehouse robust and reliable Discover the full management, storage, and analytics capabilities of a data lakehouse Understand how to apply data observability principles for your data lake This course is for you because… You need to know the latest trends in storing, processing, and managing data. You want to improve the scalability, speed, and availability of your data. You work with a variety of data sources that need to be pulled together and analyzed. You want to better understand the systems that you already use and learn how to take full advantage of their capabilities. Recommended follow-up: Read Automating the Modern Data Warehouse (report) Read The Enterprise Big Data Lake (book) Read What Is a Data Lake? (report)
    Note: Online resource; Title from title screen (viewed August 10, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 25
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    Software Architecture Hour with Neal Ford : Architectural Governance with Birgitta Boeckeler (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation with Neal Ford and his guest, Birgitta Boeckler, where they talk about Architectural Governance and how governance is a key part of a successful architect’s job. Governance defines the technical rules and standards within an organization about every aspect of technology, particularly software development. Learn how to define and enforce governance rules. What You Will Learn: What’s coming next with Software Architecture Recommended follow up Read Fundamentals of Software Architecture (book) View Software Architecture Fundamentals Beyond the Basics (video) Attend Software Architecture Superstream Series: Software Architecture Fundamentals 2021 Attend Architecture: The Hard Parts (live online training) Attend Automating Architectural Governance: Agile Engineering in Architecture (live online training)
    Note: Online resource; Title from title screen (viewed August 5, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 26
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    Software Architecture Superstream Series : Architecture Meets Data (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: With an eye to the future, many organizations have made the move to microservices as a means of decomposing monolithic legacy systems. But what does this move mean for delivering data? Join us to discover how understanding the intersection of software architecture and data can help you achieve new levels of velocity, agility, reliability, and efficiency. If you’re looking for ways to manage data as a software architect or developer, these sessions will help you learn what’s involved so you can chart a course toward a successful solution. About the Software Architecture Superstream Series: This six-part series of half-day online events focuses on the hottest topics in software architecture, giving you the insights to keep pace with what’s next while still accommodating legacy needs. Both seasoned software architects and those looking to break into the field will learn new skills and the latest information on the tools and technologies they need to succeed. What you'll learn-and how you can apply it Explore the intersection of software architecture and data Understand how and when to decompose monolithic data Learn how to apply evolutionary practices to databases and how to apply database refactoring patterns to evolve the database design See what’s coming next with data mesh, the next-generation analytical data platform This Superstream is for you because... You’re a developer or architect who wants to understand the intersection of architecture and data. You’re currently looking for ways to deliver data to support your businesses goals. You want to become well-versed in the foundations and best practices of software architecture and data. Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Building Microservices , second edition (book) Read Building Evolutionary Architectures (book) Read Building Event-Driven Microservices (book) Take Software Architecture by Example (live online training course with Mark Richards and Neal Ford) Take Architecture: The Hard Parts (live online training course with Mark Richards and Neal Ford) Take Microservice Fundamentals (live online training course with Sam Newman)
    Note: Online resource; Title from title screen (viewed January 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 27
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    Meet the Expert : Patrick Hamann and Andrew Betts on Getting Started with Serverless (2021)
    [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: Serverless is a relatively nascent concept. Adoption is on the rise, but the promise of serverless remains elusive—as does a wide understanding of the different approaches to implementation. Although the benefits of serverless are clear, the question remains on where this new technology fits into your workflows and business processes. Join us for this edition of Meet the Expert with Patrick Hamann, software engineer, and Andrew Betts, head of developer relations at Fastly, to learn about the benefits of serverless computing. Patrick and Andrew will dive into the promises of and approaches to serverless, how to get started building edge native applications, and real-world examples of companies taking advantage of this technology. O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions. What you’ll learn and how you can apply it By the end of this live show, you’ll better understand: The promise of serverless Approaches to serverless computing (where is it done best?) Serverless use cases How you can start thinking about taking your first steps towards integrating this technology into your business This event is for you because… You want to learn about the fundamental shifts that are transforming the business landscape and customer needs. You want better visibility into emerging serverless technology and the ways it can be used. You want to drive your business digital transformation Prerequisites: Come with your questions for Tyler Have a pen and paper handy to capture notes, insights, and inspiration
    Note: Online resource; Title from title screen (viewed March 2, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 28
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    Software Architecture Superstream Series : Software Architecture Fundamentals 2021 (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: There’s no single—or clearly defined—path to becoming a software architect. But these sessions will give you a solid grasp of the fundamentals, preparing you to implement the strategies that will help your organization increase performance, reduce costs, manage complexity, build in resilience and scalability, and speed time to market. Whether you're a senior-level developer who wants to make the move to architect or a practicing software architect who wants to hone your skills, these sessions provide the insight, advice, and essential knowledge you need to up your game. About the Software Architecture Superstream Series: This six-part series of half-day online events focuses on the hottest topics in software architecture, giving you the insights to keep pace with what’s next while still accommodating legacy needs. Both seasoned software architects and those looking to break into the field will learn new skills and the latest information on the tools and technologies they need to succeed. What you'll learn-and how you can apply it Learn how to identify and design architectural components Understand exactly what microservices are and the power they bring Explore techniques to analyze and select the right architecture patterns Discover ways to diagram and document an architectural solution Build better communication skills to champion architecture decisions to developers and stakeholders This Superstream is for you because... You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to learn new software architecture techniques and practices. You're considering adopting a microservice architecture. You're responsible for creating a software architecture for your company, and you want to learn the fundamentals. Prerequisites Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Building Microservices , second edition (book) Read Building Evolutionary Architectures (book) Read Building Event-Driven Microservices (book)
    Note: Online resource; Title from title screen (viewed March 18, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 29
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    Meet the Expert : Jaime Levy on UX Strategy (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Jaime Levy literally wrote the book on UX strategy. In this Meet the Expert, she highlights the latest features covered in the just-released second edition of UX Strategy as she takes you through UX and product strategy theory. Whether you're a UX designer, product manager, or entrepreneur, you’ll get a high-level overview of product strategy techniques—from simple to advanced—that you can put to work right away. Recorded on April 15, 2021. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed April 15, 2021) , Mode of access: World Wide Web.
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    Meet the Expert : Blockchain Best Practices with John Hargrave and Evan Karnoupakis (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Bitcoin. Cryptocurrencies. Digital dollars. They’re all built on the world-changing technology known as blockchain. But how do you build a blockchain? In this Meet the Expert with Sir John Hargrave and Evan Karnoupakis, learn best practices for building blockchain projects as you explore real-life case studies from leading blockchain organizations like Ethereum, Binance, Circle, and Cardano. Busy technology leaders, entrepreneurs, and students alike will discover how leading-edge organizations are building blockchain into their businesses—and how to use this knowledge to create your own blockchain success story. Recorded on March 23, 2021. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed March 23, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Software Architecture Hour with Neal Ford : Choosing Architecture Styles (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation with Neal Ford and his guest, Mark Richards, where they will go deep into the difference between patterns and styles, how understanding styles will help you to make effective architecture decisions, and how to evaluate the trade-offs for different styles. What you'll learn-and how you can apply it What’s coming next with Software Architecture This training course is for you because... You are interested in how architecture styles will impact your business architecture Prerequisites Read Fundamentals of Software Architecture Read Software Systems Architecture: Working with Stakeholders Using Viewpoints and Perspectives , 2E Chapter 11: Using Styles and Patterns View Software Architecture Fundamentals , Second Edition
    Note: Online resource; Title from title screen (viewed May 6, 2021) , Mode of access: World Wide Web.
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    Meet the Expert : Vadym Kazulkin on the Serverless Value Proposition in AWS (2021)
    [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: The serverless value proposition in AWS is huge. Join expert Vadym Kazulkin as he examines the total cost of ownership in serverless applications and explores the visible and invisible benefits of the serverless paradigm, including no infrastructure operation, auto scaling and fault-tolerance built-in, focus on business value and innovation, and faster time to market - to name a few. In this Meet the Expert, Vadym will also walk you through a decision-making list, which will help determine whether or not to choose the serverless paradigm for your projects. In doing so, he will look at the visible aspects, such as cost, understanding application lifecycle, software architecture, cost at scale, platform limitations, organizational knowledge, and plattform and tooling maturity. Vadym will also discuss current challenges adopting serverless in AWS, such as lack of high latency ephemeral storage, insufficient network performance, and missing important security features. Join us for this edition of Meet the Expert with Vadym Kazulkin to learn how to decide whether to use serverless in AWS for your next project. O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions. What you’ll learn and how you can apply it By the end of this live show, you’ll better understand: The total cost of ownership of the serverless paradigm How to decide whether to use serverless in AWS for your next project The current shortcomings of serverless on AWS The trade offs you make when deciding to use serverless Prerequisites: Come with your questions for Vadym Kazulkin Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Serverless: First Steps (EPL) Moving to Serverless with AWS Lambda (Learning Path) Learn AWS Serverless Computing
    Note: Online resource; Title from title screen (viewed February 16, 2021) , Mode of access: World Wide Web.
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    Software Architecture Hour : Incremental Architecture with Allen Holub (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on incremental architecture with Neal Ford and software architect and Agile-transformation pro Allen Holub. They’ll explain why you should create an architecture incrementally as you work so that you can easily modify that architecture as new requirements emerge—and discuss how to do so. (The solution is to build around a domain-focused metaphor that allows for incremental changes while maintaining coherence throughout.) Neal and Allen will spend a few minutes covering the fundamentals of incremental architecture, then tell you what you need to know to stay ahead of the curve. What you’ll learn and how you can apply it Learn the benefits of incremental architecture Understand how to create your architecture incrementally See what’s coming next with software architecture This recording of a live event is for you because… You’re looking for ways to build an architecture that can evolve with the changing needs of your business. Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Building Evolutionary Architectures (book) Read RESTful Web Microservices Cookbook (book) Explore Software Architecture Fundamentals Beyond the Basics (video course) Attend Software Architecture Superstream: Software Architecture Fundamentals—Comparing Architectural Styles (September 15) Take Architecture: The Hard Parts (live online training course with Mark Richards and Neal Ford)
    Note: Online resource; Title from title screen (viewed September 2, 2021) , Mode of access: World Wide Web.
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    Meet the Expert : How AI Will Change Our World by 2041 with Kai-Fu Lee and Tim O’Reilly (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 5 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: AI is poised to enter into our daily lives on a much bigger scale than ever before, touching everything from education to medicine to entertainment. While the advent of this technology may liberate us from routine work, it will also challenge the current principles of our economic and social order and bring new risks in the form of autonomous weapons and smart technology that inherits human bias. In this edition of Meet the Expert with Kai-Fu Lee—celebrated AI pioneer, former president of Google China, and best-selling author of AI Superpowers—joins in conversation with Tim O’Reilly. They explore predictions from Dr. Lee’s new book, AI 2041: Ten Visions for Our Future, written with science fiction author Chen Qiufan, and discuss how current AI technologies, such as deep learning, computer vision, robotics, autonomous driving, and natural language processing, can give insight to future advances and challenges that will have far reaching impacts across the globe. Recorded on September 9, 2021. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed September 9, 2021) , Mode of access: World Wide Web.
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    Meet the Expert : Wes McKinney on Scalable Python You Can Afford (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for this edition of Meet the Expert with Apache Arrow cocreator Wes McKinney to learn considerations and best practices for distributed Python at scale—in a cost-effective way. You’ll explore some of the computational systems challenges that go hand in hand with doing scalable distributed computing in Python and discover how working to improve data processing performance and efficiency in data science tools led Wes to help build the Apache Arrow project. What you’ll learn and how you can apply it Understand common challenges in distributed computing Explore tools and practices for improving data processing performance and efficiency Discover cost-effective considerations for data processing at scale This course is for you because… You want to learn about the fundamental shifts that are transforming the business landscape and customer needs. You want to overcome challenges that arise when working with large amounts of data. You want to discover new open source technologies and learn how to integrate them. Recommended follow-up: Read Python for Data Analysis , third edition (book)
    Note: Online resource; Title from title screen (viewed August 5, 2021) , Mode of access: World Wide Web.
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    Infrastructure and Ops Hour with Sam Newman : Multi-Cloud with Gregor Hohpe (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on multicloud with Sam Newman and software architecture pro Gregor Hohpe. They’ll chat about the benefits and challenges of multicloud architecture within the context of thinking more critically about lock-in and vendor selection. They’ll also dive into the potential challenges of hybrid/multicloud solutions, including latency, the cost of avoiding lock-in, and the difference between building a hybrid app and having a multicloud strategy. Sam and Gregor will spend a few minutes covering the trends that are influencing infrastructure, then tell you what you need to know to stay ahead of the curve. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around cloud solutions and strategy See what’s coming next for infrastructure and ops This live event is for you because… You want the chance to ask Sam Newman and Gregor Hohpe your questions around cloud strategy. You’re looking to improve your systems and mitigate weaknesses. You want to become well-versed in the foundations and best practices of working in the cloud and on-premises. Recommended follow-up: Read Cloud Native (book) Read Hybrid and Multicloud Management (report) Read The Software Architect Elevator (book) or listen to the audio book
    Note: Online resource; Title from title screen (viewed September 1, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Software Architecture Hour : Architecture Meets Data (2021)
    [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: Join us for a special conversation with Neal Ford and Mark Richards on software architecture, covering the fascinating aspects of the discipline, interesting convergence areas, and insights on how to approach the most challenging aspects of building and managing evolving architectural needs. This is your chance to ask Neal and Mark anything you want about architecture or their own career journeys. They’ll spend a few minutes covering the trends in data that are influencing architecture right now, then tell you what you need to know to stay ahead of the curve. What you'll learn-and how you can apply it Explore the intersection of software architecture and data What’s coming next with software architecture This training course is for you because... You want the chance to ask Neal Ford and Mark Richards your questions around the intersection of architecture and data. You’re currently looking for ways to deliver data to support your businesses goals. You want to become well-versed in the foundations and best practices of software architecture and data. Prerequisites: Come with your questions for Neal Ford and Mark Richards Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Fundamentals of Software Architecture (book) Take Architecture: The Hard Parts (live online training course with Mark Richards and Neal Ford)
    Note: Online resource; Title from title screen (viewed March 9, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Meet the Expert : Josh Biggley and Destiny Bertucci on Observability and Monitoring (2021)
    [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: This edition of Meet the Expert is sponsored by New Relic Has observability killed monitoring? Today the rearview understanding that monitoring provides no longer suffices. You need to know how your systems are performing right now. In this Meet the Expert with seasoned IT/ops practitioners Josh Biggley and Destiny Bertucci, explore the state of performance monitoring today. They’ll share their insights along with new research data that exposes why monitoring is being replaced by full-estate observability. Join in to learn what's needed for complete observability—and see how to get started. Recorded on March 25, 2021. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed March 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Strata Data Superstream Series : Creating Data-Intensive Applications (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: As the scale of data continues to grow (alongside an ever expanding ecosystem of tools to work with it), developing successful applications is an increasingly challenging proposition—and a necessity. At each stage of the process, from architecting to processing and storing data to deployment, there are a range of aspects to consider. Things like scalability, consistency, reliability, efficiency, and maintainability. It can be hard to figure out the right way forward. In this event, you’ll gain insight into design and engineering best practices through interactive sessions and live coding demos. Join us to learn how to make the right decisions for your applications. About the Strata Data Superstream Series: This four-part series of half-day online events gives attendees an overarching perspective of key topics that will help your organization maximize the business impact of your data. What you'll learn-and how you can apply it Learn how to build, scale, and test robust data pipelines Get an overview of next-generation technologies for developing underlying data architectures Explore design considerations to make your applications successful and reliable Understand how to ask the right questions when developing ethical data products This Superstream is for you if... You need to know the latest trends in data workflows, techniques, and tools. You want to improve the scalability, reliability, security, and maintainability of your applications. You want to better understand the systems you already use and the distributed systems on which modern databases are built. You want to learn the best ways to integrate data governance and ethical data practices into your applications. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Designing Data-Intensive Applications (book)
    Note: Online resource; Title from title screen (viewed May 4, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Meet the Expert : What to Do When AI Fails with Andrew Burt and Patrick Hall (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Artificial intelligence and machine learning have at least one thing in common with traditional software systems: they fail. AI failures might consist of discriminatory behavior, privacy violations, or even security breaches that can lead to lawsuits, regulatory fines, and more. So what can organizations do to avoid these pitfalls? In this Meet the Expert with Andrew Burt and Patrick Hall—the cofounders of bnh.ai, a boutique law firm focused on AI and analytics—learn how to prevent the inevitable failures in your ML systems from spiraling into full-blown AI incidents. As you explore a new approach to incident response specifically tailored to AI, you’ll learn when and why AI creates liability for the organizations that employ it and how those organizations should react when their AI causes major problems. Recorded on May 13, 2021. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed May 13, 2021) , Mode of access: World Wide Web.
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    Strata Data Superstream : Data Science Fundamentals (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Big data has been with us now for over 10 years, and in that time the tools and techniques have evolved. If youâ??re new to working with data or looking to understand the latest and greatest, these sessions are the perfect way to become part of the conversation. Youâ??ll learn how AI and the cloud have impacted how we grapple with ever-growing datasets and get better insight and products. About the Strata Data Superstream Series: This four-part series of half-day online events gives attendees an overarching perspective of key topics that will help your organization maximize the business impact of your data. What you'll learn-and how you can apply it Understand the problems the modern data stack helps solve today and get a glimpse of where weâ??re headed Get an overview of AI and machine learning and see how they can improve your data science work Learn how to present your data clearly and articulately This Superstream is for you because... You want to learn how data science works and understand its impacts, whether youâ??re swimming in data or just dipping in a toe. You need to know the trends in data workflows, techniques, and tools. Youâ??re interested in learning the role AI can play in your data analysis and want to find out where to start. You want to learn how to best present your data to outside stakeholders. Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommend follow-up: Read Data Science from Scratch (book) Read Fundamentals of Data Visualization (book) Read Introduction to Machine Learning with Python (book)
    Note: Online resource; Title from title screen (viewed February 11, 2021) , Mode of access: World Wide Web.
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    Infrastructure & Ops Superstream Series : Creating Your Kubernetes Platform (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The path to implementing Kubernetes to build and deploy applications isn’t always evident. After all, different orgs have different needs. Get some clarity and learn how to make the most of all that Kubernetes offers—from what to expect in your first few weeks to detailed war stories from the front lines to extending Kubernetes’s functionality with operators and more.
    Note: Online resource; Title from title screen (viewed May 26, 2021) , Mode of access: World Wide Web.
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    Infrastructure & Ops Hour with Sam Newman : Microservices and Ops with Chris O'Dell (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on Kubernetes with Sam Newman and Chris O’Dell. They’ll discuss the tools you need to succeed with a microservices-style architecture, how to handle the challenges in deployment, and the trends that are impacting your organization’s deployment practices and culture. What you'll learn-and how you can apply it Explore the origins of microservices and why they’re needed Understand the challenges you may encounter implementing microservices See what’s coming next for infrastructure and ops This training course is for you because... You’re looking for ways to improve monitoring of your microservices to support your production goals. You want to become well versed in the foundations and best practices of pipeline creation and deployment. Prerequisites Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Building Microservices , second edition (book) Read Microservices: Up and Running (book) Read SRE with Java Microservices (book)
    Note: Online resource; Title from title screen (viewed June 2, 2021) , Mode of access: World Wide Web.
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    Meet the Expert : Mark Treveil on MLOps (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Machine learning operations, or MLOps, is a set of processes that can help today’s organizations get value from data science by reducing friction throughout pipelines and workflows. However, implementing MLOps is easier said than done because it touches so many teams, people, and processes across the organization — it’s larger than just model monitoring in production. Through his experience working with global organizations on governance and MLOps topics, Mark will outline the key components of a robust (and successful) MLOps strategy. O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions. This event is for you because… You want to design MLOps systems that minimize risks across the organization. You want to get more value out of data science by implementing MLOps processes. Prerequisites: Come with your questions for Mark Treveil Have a pen and paper handy to capture notes, insights, and inspiration
    Note: Online resource; Title from title screen (viewed April 8, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Meet the Expert : Alex Gorelik on Data Privacy Regulations at Facebook (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In 2020, Mark Zuckerberg famously declared that "the future is private," reflecting Facebook's commitment to doing privacy right. It’s a formidable challenge for a company with a codebase containing more than 100 million lines of code, to which engineers make thousands of changes per day. It can only be tackled by the entire company working together. While Facebook has more to do, it’s already made significant progress on privacy improvements across the company in terms of processes, products, and engineering teams. In this Meet the Expert with Facebook software engineer Alex Gorelik, learn how Facebook is implementing best-in-class privacy at scale without slowing down development. You’ll explore best practices for making data privacy everyone's responsibility, learn how to build processes, technical tools, and frameworks that support privacy work, and hear lessons learned while implementing privacy for billions of users. Recorded on March 11, 2021. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed March 11, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Software Architecture Superstream Series : Soft Skills Are the Hardest Part (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Developers and architects like to solve technical problems, not people problems. However, as Gerald Weinberg was famous for saying, “No matter what they tell you, it’s always a people problem.” Exceptional interpersonal skills—teamwork, facilitation, and leadership among them—are at least half of what it takes to become an effective software architect (regardless of the actual role or title an architect may have). But attaining the skills that will ensure you can communicate clearly and get stakeholder buy-in can be a difficult proposition. Join us for this Superstream event to learn more about these essential skills, understand why they’re so critical, and see how you can start putting them into practice. What you’ll learn and how you can apply it Explore techniques to analyze and select the right architecture patterns Discover ways to diagram and document an architectural solution Learn better communication skills to champion architecture decisions to developers and stakeholders This course is for you because… You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. You want to learn more about how to succeed as a software architect by developing your leadership and negotiation skills. Recommended follow-up: Read The Software Architect Elevator (book) Read Dynamic Reteaming , second edition (book) Read Microservices Patterns (book) Take Mastering Technical Presentations by Example (live online training course with Neal Ford) Read Fundamentals of Software Architecture (book) Read Building Microservices , second edition (book) Read Building Evolutionary Architectures (book) Read Building Event-Driven Microservices (book) Take Software Architecture by Example (live online training course with Mark Richards and Neal Ford) Take Architecture: The Hard Parts (live online training course with Mark Richards and Neal Ford) Take Microservice Fundamentals (live online training course with Sam Newman)
    Note: Online resource; Title from title screen (viewed July 14, 2021) , Mode of access: World Wide Web.
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    Getting Started with O’Reilly (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Welcome to O’Reilly online learning—and on-demand access to a world of answers. Check out these quick videos to learn about the features and unique content you should explore first
    Note: Online resource; Title from title screen (viewed May 8, 2021) , Mode of access: World Wide Web.
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    Infrastructure & Ops Hour : SRE with Tammy Butow (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on site reliability engineering with Sam Newman and Gremlin principal SRE Tammy Butow. They’ll chat about SRE best practices and challenges, building resilient systems, chaos engineering, facilitating controlled experiments to identify systemic weaknesses, and more. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around SRE What’s coming next for infrastructure and ops This course is for you because… You want the chance to ask Sam Newman and Tammy Butow your questions around SRE and chaos engineering. You’re looking for ways to improve your systems and mitigate weaknesses. You want to become well-versed in the foundations and best practices of pipeline creation. Recommended follow-up: Read Chaos Engineering (book) Read Security Chaos Engineering (report) Read Site Reliability Engineering (book)
    Note: Online resource; Title from title screen (viewed August 2, 2021) , Mode of access: World Wide Web.
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    Meet the Expert : Practical App Modernization Solutions for Federal Agencies and Contractors with Stephen Hillier and Paul Deakin (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sponsored by F5 Tight budgets, growing cybersecurity concerns, and the challenge of maintaining legacy applications and infrastructures are overloading traditional IT resources in federal agencies. As a result, the legacy applications these agencies have relied on to support their missions and operations can no longer fully support the business requirements of innovation, agility, and efficiency. Something has to change, but what are the best ways forward? Join us for this edition of Meet the Expert with Stephen Hillier and Paul Deakin, IT experts with deep experience working with federal governments. They’ll discuss the latest app modernization trends—and how government agencies might put some of them into practice. You’ll learn how agencies are taking new approaches related to the migration of legacy application (optimizing container management and automating app delivery, for instance); gain practical advice on how to best integrate new functionality (like how to best manage and secure APIs in modern digital experiences); and explore the latest security methodologies and processes associated with evolving app development and modernization vulnerabilities (in other words, DevSecOps). What you’ll learn and how you can apply it Understand how to best approach migrating your legacy applications to modern infrastructure Learn how to integrate new functionality, like managing and securing APIs Explore the latest security methodologies and processes This course is for you because… You want to better understand how to address legacy applications that can no longer support your business requirements. You want to learn about the fundamental shifts that are transforming the business landscape and customer needs. Recommended follow-up: Read Software Engineering at Google (book) Read Seriously Good Software (book)
    Note: Online resource; Title from title screen (viewed July 22, 2021) , Mode of access: World Wide Web.
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    Meet the Expert : Jen Stirrup on Democratizing AI for the Business (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: If AI is going to be part of everyday life for businesses and citizens alike, it needs to be accessible. So how should organizations move toward AI maturity? And what steps can businesses take to democratize AI while meeting the challenges they’ll encounter along the way? In this Meet the Expert, AI and business intelligence leader Jen Stirrup walks you through a number of different challenges and considerations for the democratization of AI for business—along with approaches for overcoming them. Find out what AI means for the industry, for people’s careers, and for their training opportunities as you explore aspects of AI that you may not have considered yet. Recorded on August 24, 2021. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed August 24, 2021) , Mode of access: World Wide Web.
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    Working with TensorFlow Lite on Android with C++ (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: There are many cases where developers on mobile write lower-level C++ code for their Android applications using the Android NDK, OpenCV and other technologies. Joe Bowser (Adobe) explores how to use TF Lite’s C++ API on Android with existing code so the code can interact directly with TF Lite without having to make a round trip through Java Native Interface (JNI) and the Android subsystem, allowing for cleaner, more portable code so that can even be used in iOS or other platforms. You’ll also discover common pitfalls when working with TFLite as a C++ library, using TFLite with OpenCV and/or Halide on Android, as well as some techniques to do integration testing to allow your tests to work in a CI/CD environment. Prerequisite knowledge Experience with mobile development What you'll learn Discover with the pros and cons of various approaches to using TensorFlow Lite in a production environment and whether using Java or C++ is the best choice for you project
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    Stream processing beyond streaming data (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Stream processing is becoming something like a “grand unifying paradigm” for data processing. Outgrowing its original space of real-time data processing, stream processing is becoming a technology that offers new approaches to data processing (including batch processing), real-time applications, and even distributed transactions. Stephan Ewen (Ververica) dives into these developments from the view of Apache Flink and presents some of the major efforts in the Flink community to build a unified stream processor data processing and data-driven applications. Flink already powers many of the world’s most demanding stream processing applications. He explores the approach of Flink’s next-generation streaming runtime that offers a state-of-the-art batch processing experience and performance. A new machine learning library, built on top of a unique new API, supports many algorithms to train dynamically across static and real-time data. And he examines the new building blocks stream processing offers for data-driven applications that open a new direction to solve application consistency. You’ll see use cases from different users, showing how companies apply this broader streaming paradigm in practice. With use cases from different users, we show how companies apply this broader streaming paradigm in practice. Prerequisite knowledge A basic understanding of stream processing (useful but not required) What you'll learn Understand the breadth of changes that stream processing is introducing to data infrastructures and to the way we build applications and which areas are most likely to be affected next This session is from the 2019 O'Reilly Strata Conference in New York, NY.
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    Practical feature engineering (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Feature engineering is generally the section that gets left out of machine learning books, but it’s also the most important part of successful models, even in today’s world of deep learning. While academic courses on machine learning focus on gradients and the latest flavor of recurrent network, Ted Dunning (MapR) explores the techniques that practitioners in the real world are seeking out better features and figuring out how to extract value using a variety of time-honored (and occasionally exceptionally clever) heuristics. In a sense, feature engineering is the Rodney Dangerfield of machine learning, never getting any respect. It is, however, the task that will get you the most value for time spent in terms of model performance. This work is not just the work of the data scientist. Good features encode business realities as well and are the cross-product of good business sense and good data engineering. Prerequisite knowledge A basic understanding of how machine learning is used to teach models What you'll learn Learn some surprising techniques that can help you solve some really hard problems This session is from the 2019 O'Reilly Strata Conference in New York, NY.
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    O'Reilly Software Architecture Conference 2020 - New York, NY (2020)
    [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., 9 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. O’Reilly Media’s Software Architecture Conference (SACON) New York 2020 was Maggie Carrol’s (MAG Aerospace) compelling examination of the strategies and tactics successful software architects use to develop actionable influence within the power centers of their organizations. It was Sonya Natanzon’s (Guardant Health) practical review of the skills and knowledge required to become a software architect. And it was a series of thought-provoking and inspiring keynote addresses delivered by some of the world’s top software architecture thinkers and practitioners (e.g., IBM Cloud’s CTO Hillery Hunter, ThoughtWorks’ Chief Scientist Martin Fowler, and Lean/Agile pioneer Mary Poppendieck). This video compilation gives you I-was-there access to all of these presentations and to the best of SACON New York 2020’s keynote addresses, long form tutorials (3.5 hrs. each), deep dive sessions (1.5 hours each), and rapid-fire sessions (50 min. each). Highlights include: Complete video recordings of SACON New York’s best sessions delivered by more than 50 of the planets most experienced software architects, senior developers, engineers, CTOs and CIOs—this compilation contains hours of material to review and analyze at your own pace. Fundamentals sessions, including Xebia’s Marco van der Linden and Tom Hofte (Xebia) on writing clear service-level objectives; Morgan Stanley’s James Gough, Matthew Auburn, and Padmavati Sridhar on building, specifying, and testing APIs with microservices; and Mike Amundsen (Amundsen.com, Inc.) on designing and building great APIs. Application Architecture sessions, such as Aikaterini Iliakopoulou’s (The New York Times) deep dive into NYT’s 4-billion emails per year messaging platform; Scott Davis (ThoughtWorks) on why conversational UIs are application architecture’s next big wave; and Wes Chow (Cortico at MIT Media Lab) on how MIT built it’s highly experimental “digital hearth”. Microservices sessions, including Ethan Garofolo’s (Berkadia Commercial Mortgage) review of what microservices actually are (and are not); Mark Richards (Developertoarchitect.com) on determining the feasibility of moving your monolith to microservices: and Megan O'Keefe (Google Cloud) on Istio and building a service mesh from the ground up. Key Skills sessions, such as John Chapin’s (...
    Note: Online resource; Title from title screen (viewed February 25, 2020) , Mode of access: World Wide Web.
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    The holy grail of data science : Rapid model development and deployment (sponsored by Zepl) (2020)
    [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: A key step in the data science workflow is rapid model development in order to create, test, and identify the best models to put into production. However, large gaps exist in this workflow, and the data science tool set is rapidly changing to fill those gaps. Large teams and enterprises are quickly moving from using individual siloed notebooks like Zeppelin and Jupyter to wanting to share and reuse models, code, and results. Challenges also exist in deploying models into production and model serving using tools like Kubeflow and TensorFlow. Moon Soo Lee and Louis Huard explore real-world examples of how companies are solving these problems, and how you can use these best practices in your own workflow. What you'll learn Learn how companies are solving the problem of the gaps in the data science workflow This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA.
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    Meet the Expert : Tim O’Reilly on What's Wrong with Silicon Valley? (2020)
    [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., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The recent implosion of WeWork and the underperformance of Uber as a public company relative to its inflated pre-IPO expectations are just the tip of the iceberg. Is something wrong with the Silicon Valley funding model and its reliance on venture capital? Is it about to lead to another bust, or can we still find our way to more sustainable tech businesses and investments? In this special conversation, Tim O'Reilly covers why moving fast and breaking things is usually not the best strategy and how emulating the tortoise rather than the hare can lead to business success and building more value over time. Recorded on January 22, 2020. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed March 6, 2020) , Mode of access: World Wide Web.
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    Managing your Kafka in an explosive growth environment (2020)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Frequently, Kafka is just a piece of the stack that lives in production that often times no one wants to touch—because it just works. Kafka sits at the core of AppsFlyer’s infrastructure that processes billions of events daily. Alon Gavra (AppsFlyer) dives into how AppsFlyer built its microservices architecture with Kafka as its core piece to support 70B+ requests daily. With continuous growth, the company needed to “learn on the job” how to improve its Kafka architecture by moving to the producer-owner cluster model, breaking up its massive monolith clusters to smaller, more robust clusters and migrating from an older version of Kafka with real-time production clients and data streams. Alon outlines best practices for leveraging Kafka’s in-memory capabilities and built-in partitioning, as well as some of the tweaks and stabilization mechanisms that enable real-time performance at web scale, alongside processes for continuous upgrades and deployments with end-to-end automation, in an environment of constant traffic growth. Prerequisite knowledge A basic understanding of Kafka What you'll learn Learn why Kafka is useful for handling traffic spikes and ensuring no data loss in constant growth This session is from the 2019 O'Reilly Strata Conference in New York, NY.
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    Spotlight on Cloud : Cloud FinOps & Cost Optimization with J.R. Storment (2020)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Ten years ago, DevOps broke down the silos between engineering and ops and accelerated the pace of innovation. Today, a similar pattern is emerging where effective cloud infrastructure adoption and usage requires a deep collaboration between technical teams (DevOps) and their new partners in finance and business. In this Spotlight on Cloud , find out how to create a strategy for managing your organization's cloud costs. Expert J.R. Storment shares strategies for scaling your cloud adoption by collaborating across operations, development, and finance to continuously optimize cloud spend, using an emerging practice known as FinOps. Recorded on December 16, 2019. See the original event page for resources for further learning 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 Cloud , you’ll learn about the complex, ever-evolving world of the cloud. You’ll discover how successful companies have adopted and embraced this massive network of shared information and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed February 21, 2020) , Mode of access: World Wide Web.
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    Neural structured learning in TensorFlow (2020)
    [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: Neural structured learning is an easy-to-use, open-sourced TensorFlow framework that both novice and advanced developers can use for training neural networks with structured signals. NSL can be applied to construct accurate and robust models for vision, language understanding, and prediction in general. Many machine learning tasks benefit from using structured data that contains rich relational information among the samples. These structures can be explicitly given (e.g., as a graph) or implicitly inferred (e.g., as an adversarial example). Leveraging structured signals during training allows developers to achieve higher model accuracy, particularly when the amount of labeled data is relatively small. Training with structured signals also leads to more robust models. Da-Cheng Juan and Sujith Ravi explore the concept, framework, and workflow of NSL and provides the code examples for practitioners and developers. Prerequisite knowledge A basic understanding of neural networks and TensorFlow What you'll learn Discover the concept, framework, and workflow of NSL
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    How to Build Katacoda Scenarios with O'Reilly (2020)
    [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: O’Reilly Katacoda represents a quantum leap forward in learning new IT technologies by presenting users with an interactive, hands-on platform that simulates real-world scenarios and environments. Katacoda lets users better learn architectures and systems like Kubernetes and Docker than any existing online courses, books, or videos, honing their skills in custom-configured cloud-based sandboxes that more closely mimic what they will experience in actual production environments. Simply put, there is no better way for learners to acquire and refine technology skills. And, for instructors, this innovative tool is the most effective way to help you teach at a deeper and more functional level; learning how to author your own scenarios is your first step toward applying Katacoda to your tutorials. In this video course designed for beginner- to intermediate-level Katacoda scenario authors, your host, Jon Johnson, explains why Katacoda is a great learning tool, gets you started on authoring your own scenarios, and shares tips and best practices for creating great learning experiences with this powerful cloud-based coding tool. If you’re new to Katacoda and want to learn how to build O’Reilly Katacoda scenarios, this learning path will help you to understand how and when to use this fantastic platform to your greatest advantage. What you’ll learn—and how you can apply it What Katacoda does and why it’s a great learning tool How to make the most of the existing Katacoda libraries and playgrounds during your scenario planning and building process How to set up, build, and test scenarios Ways of approaching new builds, and how to implement a set of best practices for creating stellar learning experiences through Katacoda This video course is for you because… You're an O’Reilly author or speaker who wants to use Katacoda to build scenarios that excite learners You're new to Katacoda and want to learn how to get started with a scenario build You’ve used Katacoda before, and you want to learn a set of tips and best practices to improve your scenario authoring skills Prerequisites: None Materials or downloads needed in advance: None Further resources O’Reilly Katacoda Scenario Formatting and Design Guide O’Reilly Katacoda Scenario Authoring Guide O’Reilly Katacoda Scenario Workflow for Authors
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    Getting involved in the TensorFlow community (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Large-scale open source projects can be daunting, and one of the goals of TensorFlow is to be accessible to many contributors. Joana Carrasqueira and Nicole Pang (Google) share some great ways to get involved in TensorFlow, explain how its design and development works, and show you how to get started if you’re new to machine learning or new to TensorFlow. They cover a variety of ways for you to participate, including Special Interest Groups, which are project-specific groups for collaboration and contribution; request for comments (RFCs), the open discussion of design directions; documentation and translation communities; user groups and the Google Developer Expert ML program; and GitHub and Stack Overflow. On the learning side, they cover new education resources, how you can learn TensorFlow from TensorFlow instructors and renowned faculty in academia, and how to showcase your TensorFlow expertise as you gain skill sets crucial to getting involved in the machine learning world. What you'll learn See how to get started participating in the TensorFlow community
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    Creating an extensible 100+ PB real-time big data platform by unifying storage and serving (2020)
    [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: Uber relies heavily on making data-driven decisions in every product area and needs to store and process an ever-increasing amount of data. But building a reliable big data platform is extremely challenging when it has to store and serve hundreds of petabytes of data in real time. The company redesigned traditional big data platform solutions to provide faster, more reliable, and more performant access by adding a few critical technologies that overcome their limitations. Reza Shiftehfar reflects on the challenges faced and proposes architectural solutions to scale a big data platform to ingest, store, and serve 100+ PB of data with minute-level latency while efficiently utilizing the hardware and meeting security needs. You’ll get a behind-the-scenes look at the current big data technology landscape, including various existing open source technologies (e.g., Hadoop, Spark, Hive, Presto, Kafka, and Avro) as well as what Uber’s tools such as Hudi and Marmaray. Hudi is an open source analytical storage system created at Uber to manage petabytes of data on HDFS-like distributed storage. Hudi provides near-real-time ingestion and provides different views of the data: a read-optimized view for batch analytics, a real-time view for driving dashboards, and an incremental view for powering data pipelines. Hudi also effectively manages files on underlying storage to maximize operational health and reliability. Reza details how Hudi lowers data latency across the board while simultaneously achieving orders of magnitude of efficiency over traditional batch ingestion. He then makes the case for near-real-time dashboards built on top of Hudi datasets, which can be cheaper than pure streaming architectures. Marmaray is an open source plug-in based pipeline platform connecting any arbitrary data source to any data sink. It allows unified and efficient ingestion of raw data from a variety of sources to Hadoop as well as the dispersal of the derived analysis result out of Hadoop to any online data store. Reza explains how Uber built and designed a common set of abstractions to handle both the ingestion and dispersal use cases, along with the challenges and lessons learned from developing the core library and setting up an on-demand self-service workflow. Along the way, you’ll see how Uber scaled the platform to move around billions of records per day. You’ll also dive into the technical aspects of how to rearchitect the ingestion platform to bring in 10+ trill...
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    A novel solution for a data augmentation and bias problem in NLP using TensorFlow (2020)
    [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: The TensorFlow ecosystem contains many valuable assets. One of which is the highly acclaimed TensorFlow high-level API. It’s critical for a fast and lightweight approach to reducing lead time in deep learning model development and hypothesis testing. It’s now possible to quickly and easily develop a novel deep learning solution to meet an important need in practice: data bias and augmentation in NLP. Solving this problem would have a far-reaching impact in model bias, offensive-language detection, language personalization, and classification. KC Tung (Microsoft) details his work to satisfy a need of an enterprise customer (one of the largest airlines in the world) for a model that can accurately review, classify, and store texts from aircraft maintenance logs to comply with FAA regulations on aviation safety. The customer’s data is imbalanced and biased toward certain categories. Training machine learning models with imbalanced data inevitably leads to model bias, and text generation is a novel and important approach for data augmentation. In NLP, many current approaches to augmenting minority data are unsupervised and are limited to synonym swap, insertion, deletion, or oversampling. These generalized approaches often lead to a trade-off between precision and recall. They also don’t work well in practice, as enterprise data is almost always domain specific. There needs to be a better framework to generate new corpus by learning from any domain-specific underrepresented text. KC presents a novel deep learning framework built with TensorFlow to quickly achieve this goal. A benchmark model is trained on the balanced dataset. From this dataset a class is undersampled as the underrepresented, minority class text. Then a gated recurrent unit (GRU) model learns to generate more underrepresented text, which helps training a long short-term memory (LSTM) model that classifies text. The result on holdout data shows that the model trained with generated text is surprisingly effective. Classification accuracy, precision, and recall at each class are all on par with the benchmark model without compromising precision or recall. In short, this demonstrates the success of TensorFlow adoption for the enterprise customer in quickly leveraging and applying the TensorFlow high-level API in building a novel production-grade solution for deployment, demonstrating the effectiveness of a novel data-augmentation framework, identifying a “killer app” or a new core val...
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    A framework to bootstrap and scale a machine learning function (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: With the hype around artificial intelligence and machine learning sky high and the perceived talent shortage, it’s still extremely hard for organizations to build their machine learning efforts. Madhura Dudhgaonkar (Workday) breaks down the lessons learned into an an actionable framework to bootstrap and scale a machine learning product function. You’ll see the framework in action through an actual 0 to 1 product journey, involving deep learning where value was delivered in record speed in spite of not having a dataset. You’ll hear counterintuitive tips that Madhura has been using to productize ML services over the last 5+ years (using a diverse range of technologies—vision, language, graph, anomaly detection, search relevance, and personalization). Prerequisite knowledge A basic understanding of the machine learning discipline What you'll learn See an actionable framework to begin and scale your ML product journey Discover tips on all sides of the equation for bootstrapping and scaling ML functions This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA.
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    Causal inference 101 : Answering the crucial “why” in your analysis (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Causal questions are ubiquitous in data science. For example, you may have questions that are deeply rooted in causality, such as whether or not changing a feature on a website led to more traffic or if digital ad exposure led to incremental purchase, did changing a feature in a website lead to more traffic or if digital ad exposure led to incremental purchase. Randomized tests are considered to be the gold standard when addressing causal effects; however, in many cases experiments are unfeasible or unethical. In such cases, you have to rely on observational (nonexperimental) data to derive causal insights. The crucial difference between randomized experiments and observational data is that in the former, test subjects (e.g., the customers) are randomly assigned a treatment (e.g., digital advertisement exposure). This helps curb the possibility that user response (e.g., clicking on a link in the ad and purchasing the product) across the two groups of treated and nontreated subjects is different because of preexisting differences in user characteristic (e.g., demographics, geolocation, etc.) In essence, you can then attribute divergences observed posttreatment in key outcomes (e.g., purchase rate) as the causal impact of the treatment. But this treatment assignment mechanism is absent when using observational data. Subhasish Misra (Walmart Labs) explores the statistical methods available to ensure you’re able to circumvent this shortcoming and get to causality. You’ll get a practical overview of the aspects of causal inference, including the fundamental tenants of causality and measuring causal effects; the challenges involved in measuring causal effects in real-world situations; distinguishing between randomized and observational measurement approaches; an introduction to measuring casual effects with observational data using matching and its extension of propensity score-based matching with a focus on the institution and statistics behind it, tips from the trenches based on Subhasish’s experience with these techniques; and practical limitations of these approaches. Subhashish walks you through an example of how matching was applied to get causal insights regarding the effectiveness of a digital product at Walmart. Prerequisite knowledge A basic understanding of machine statistics and data science What you'll learn Discover the fundamental nuances of causal inference and analytical frameworks and implementation tools to tease out causal effect...
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    Artificial and human intelligence in healthcare (2020)
    [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: With the fundamental breakthroughs in artificial intelligence and the significant increase of digital healthcare data, there’s been enormous interest in AI for healthcare applications. One rapidly developing area is the use of deep neural networks for medical imaging, with applications ranging from diagnosing chest X-rays to the early detection of Alzheimer’s to identifying cancer in pathology slides. Despite this variety of applications, there remain some crucial unanswered questions. On the methods side, there’s been a premature convergence on a specific model-development strategy: deep neural networks are first trained on natural image data, and then fine-tuned (transferred) to work on the medical data. Maithra Raghu (Cornell University Google Brain) explores this process and shows that contrary to conventional wisdom, this standard method of model development isn’t guaranteed to provide the benefits it’s believed to, and she suggests simple and effective alternate methodologies. On the applications side, there’s been little exploration of the interaction of these medical AI algorithms with human experts, with existing literature typically evaluating the algorithm in isolation and the human experts in isolation—vastly different from a realistic deployment scenario. Maithra examines the essential question—the role of human experts—which provides new, crucial prediction problems to study and significant benefits through the effective combination of artificial and human intelligence. Prerequisite knowledge General knowledge of developing machine learning models (specifically deep neural networks) (useful but not required) What you'll learn Learn the standard methods for developing algorithms (deep neural networks) for medical imaging applications and ways to improve these, as well as places where conventional beliefs might be misleading See typical possible deployment scenarios for these technologies and the kinds of challenges and benefits that arise through interaction with human experts This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA.
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    Advancing our understanding of deep reinforcement learning with community-driven insights (2020)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Simulated environments have been essential to advancing the field of artificial intelligence, providing vast amounts of synthetic data that tests novel approaches safely and efficiently. This has most often taken the form of games, ranging from simple board games to modern multiplayer strategy games. These games served as a good starting point, but Danny Lange (Unity Technologies) reveals an opportunity to push the state of the art in AI research to the next level. United introduced the Obstacle Tower, a high-visual-fidelity, 3-D, third-person, procedurally generated game environment purpose built to test a deep reinforcement learning-trained agent’s vision, control, planning, and generalization abilities. Over the past year, Unity invited researchers and developers to try to solve the tower with the intention of sharing those insights with the broader community. Prerequisite knowledge A basic knowledge of machine learning and AI What you'll learn See how you can use what Unity learned from hosting the challenges to engage the broader community to advance AI research Find out how participants fared as they attempted to solve the tower, what that taught Unity, and what's next for Obstacle Tower as it continues pushing advances in deep reinforcement learning Learn how observing emergent behaviors of multiple AI agents in a simulated virtual environment can lead to the most optimal designs and real-world practices This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA.
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    Meet the Expert : Liz Fong-Jones on Cultivating Production Excellence (2020)
    [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: Taming the complex distributed systems you're responsible for requires changing not just the tools and technical approaches we use but also who’s involved in production, how they collaborate, and how we measure success Expert Liz Fong-Jones explores several practices core to production excellence: giving everyone a stake in production, collaborating to ensure observability, measuring with service-level objectives, and prioritizing improvements using risk analysis. Recorded on March 2, 2020. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed April 9, 2020) , Mode of access: World Wide Web.
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    Highlights from the Keynotes of Artificial Intelligence Conference, San Jose 2019 (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This curated collection of keynote highlights from the O'Reilly Artificial Intelligence Conference in San Jose '19 is full of useful insights and helpful guidance. For more content from this event, be sure to check out the full conference video compilation .
    Note: Online resource; Title from title screen (viewed March 31, 2020) , Mode of access: World Wide Web.
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    Working with time series : Denoising and imputation frameworks to improve data density (2020)
    [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: Increasingly, organizations are looking beyond conventional data provided by data aggregators and vendors in their industry. But alternative data, because of the way it’s generated and collected, is typically noisy and often ephemeral. A model’s ability to learn and correctly predict future outcomes is greatly influenced by the underlying data. Clean, complete data can make the difference between deriving correct and incorrect conclusions. Incomplete data can restrict its application to only a small set of techniques. And for alternative data sources, missed data is almost impossible to recover. Anjali Samani (CircleUp) explains two simple frameworks for evaluating a dataset’s candidacy for smoothing and quantitatively determining the optimal imputation strategy and the number of consecutive missing values that can be imputed without material degradation in signal quality. To extract meaningful signals from alternative data, it’s necessary to apply denoising and imputation to generate clean and complete time series. There are numerous ways to smooth a noisy data series and impute missing values, each with relative strengths and weaknesses. Smoothing removes noise from the data and allows patterns and trends to be identified more easily. It can, however, make a series appear less volatile than it is and may mask the very patterns you’re seeking to identify. So you have to know when you should and shouldn’t smooth a series, and if it is smoothed, what type of smoothing you should apply. Similarly, missing observations in time series can be imputed in many ways. These are covered in detail in both academic and practitioner literature. What caused the missing values in the first place and how the data is going to be used in downstream applications can often inform the most appropriate strategy for imputation. However, when there are multiple options to choose from, you have to objectively choose between different strategies and identify how many consecutive missing values can be safely imputed. Prerequisite knowledge A basic understanding of techniques such as simple and exponentially weighted moving averages, median filters, and linear interpolation and metrics such as root mean square error, mean absolute and percent errors, and relative error What you'll learn Gain frameworks for evaluating a dataset’s candidacy for smoothing and quantitatively determining the optimal imputation strategy and the number of consecutive missing values that can be ...
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    Uber’s deep learning applications in NLP and conversational AI (2020)
    [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: Uber applies NLP and conversational AI in a number of business domains, such as customer support, in-app messages, and voice-controlled interactions with the Uber app. Huaixiu Zheng details the challenges and opportunities of implementing AI solutions in a real-world environment. You’ll be able to see a few use cases (COTA, OCC, and driver assistant) to showcase the process of using AI to impact business. Huaixiu also outlines some of the cutting-edge research Uber is doing in the area of end-to-end dialogue systems. Prerequisite knowledge A basic understanding of deep learning and how AI can impact business What you'll learn Understand how to build and implement end-to-end AI solutions as well as how to use AI to enable natural interactions for customers See cutting-edge research in dialogue systems This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA.
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    TensorFlow Privacy : Learning with differential privacy for training data (2020)
    [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: When evaluating ML models, it can be difficult to tell the difference between what the models learned to generalize from training and what the models have simply memorized. And that difference can be crucial in some ML tasks, such as when ML models are trained using sensitive data. Recently, new techniques have emerged for differentially private training of ML models, including deep neural networks (DNNs), that used modified stochastic gradient descent to provide strong privacy guarantees for training data. Those techniques are now available, and they’re both practical and can be easy to use. This said, they come with their own set of hyperparameters that need to be tuned, and they necessarily make learning less sensitive to outlier data in ways that are likely to slightly reduce utility. Úlfar Erlingsson explores the basics of ML privacy, introduces differential privacy and why it’s considered a gold standard, explains the concrete use of ML privacy and the principled techniques behind it, and dives into intended and unintended memorization and how it differs from generalization. Prerequisite knowledge Experience using TensorFlow to train ML models A basic understanding of stochastic gradient descent What you'll learn Learn what it means to provide privacy guarantees for ML models and how such guarantees can be achieved in practice using TensorFlow Privacy
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    Spotlight on Cloud : Public Interest Technology with Bruce Schneier (2020)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Information security, IoT safety, data privacy, algorithmic security and fairness, AI, biotech, the future of work—information technology is now a public policy issue. But while an understanding of the technology involved is fundamental to crafting good policy, there’s little involvement of technologists in policy discussions. This isn’t sustainable. We need public interest technologists: people from our fields helping craft policy and providing security to agencies and groups working in the broader public interest. We need them in government, at NGOs, teaching at universities, as part of the press, and inside private companies. This is increasingly critical to both public safety and overall social welfare In this Spotlight on Cloud , find out about the current state of public interest technology and to discover a way forward, for us individually and collectively for our field. Recorded on December 5, 2019. See the original event page for resources for further learning 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 Cloud , you’ll learn about the complex, ever-evolving world of the cloud. You’ll discover how successful companies have adopted and embraced this massive network of shared information and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed February 21, 2020) , Mode of access: World Wide Web.
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    Framing business problems as machine learning (ML) problems (sponsored by Amazon Web Services) (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Successful businesses today are turning to ML as a new approach to solve business challenges. However, transforming your business with ML can be hard from a cultural, competitive, and technology position. Carlos Escapa takes a deep dive into how to identify use cases for ML, acquire cutting-edge best practices to frame problems in a way that key stakeholders and senior management can understand and support, and set the stage for delivering successful ML-based solutions for your business. What you'll learn Discover how to transform your business with ML This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA. and is sponsored by Amazon Web Services.
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    Fast data with the KISSS stack (2020)
    [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: Streaming analytics (or fast data processing) is becoming an increasingly popular subject in enterprise organizations. Customers want real-time experiences, such as notifications and advice based on their online behavior and other users’ actions. A typical streaming analytics solution follows a “pipes and filters” pattern that consists of three main steps: detecting patterns on raw event data (complex event processing), evaluating outcomes with the aid of business rules and machine learning algorithms, and deciding on the next action. At the core of this architecture is the execution of predictive models that operate on enormous amounts of never-ending data streams. Bas Geerdink (Aizonic) presents an architecture for streaming analytics solutions that covers many use cases that follow this pattern: actionable insights, fraud detection, log parsing, traffic analysis, factory data, the IoT, and others. He explores a few architecture challenges that arise when dealing with streaming data, such as latency issues, event time versus server time, and exactly once processing. The solution is open source and available on GitHub: build on the KISSS stack. Prerequisite knowledge A basic understanding of big data and fast data applications and application and solution architecture Experience with a reference architecture What you'll learn Learn to set up a streaming analytics (fast data) solution, basic concepts in this field, and the KISSS stack This session is from the 2019 O'Reilly Strata Conference in New York, NY.
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    Executive Briefing : Usable machine learning—Lessons from Stanford and beyond (2019 Strata Conference, New York) (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Despite a meteoric rise in data volumes within modern enterprises, enabling nontechnical users to put this data to work in diagnostic and predictive tasks remains a fundamental challenge. Peter Bailis (Sisu Stanford University) details the lessons learned in building new systems and interfaces to help users quickly and easily leverage the data at their disposal with production experience from Facebook, Microsoft, and the Stanford DAWN project. Drawing on his research and startup experience, Peter examines why deep networks aren’t a panacea for most organizations’ data; how usability and speed are the best path to better models; why Facebook, Apple, Amazon, Netflix, and Google (FAANG) likely won’t (and can’t) dominate every vertical; and why automating feature selection is more practical than AutoML. Prerequisite knowledge General knowledge of how machine learning models are built, trained, and deployed What you'll learn Learn practical principles informed by recent theory and actual production deployments Understand how to use the existing body of structured enterprise data as a source of training data, focus on augmentation and not automation of common workflows, and deploy models quickly and rapidly iterate This session is from the 2019 O'Reilly Strata Conference in New York, NY.
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    Executive Briefing : Managing AI products (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: There’s an evolution in product management correlated with the shift from the digital revolution to the AI revolution. AI product managers are rising. As AI and ML eat software, more and more PMs and execs need to level up their skills to manage these products and provide requirements and specifications that add value to the data engineering and data science teams. This leads to actually solving customer pain points and not just building a cool technology solution. Imagine a new recommendation feature. Traditionally, a PM would work with a designer and come up with the UI/UX specification around the layout, when and where to show the recommendations, the behavior on interacting with the recommendations, etc. However, product specifications around UX, layout, or interactions are of no value to a machine learning engineer or a data scientist who would need to operationalize a machine learning system to power such recommendations. Mayukh Bhaowal (Salesforce) details the top areas an AI product manager needs to focus on above and beyond a traditional PM, including mapping of business problems to machine learning problems, understanding data and labelled data nuances, defining crisp model evaluation criteria, model explainability, ethics and bias, and the distinction between research and production when it comes to AI-powered products and features. Prerequisite knowledge A working knowledge of AI product space What you'll learn Understand that the role of product management has changed fundamentally and that AI product managers and execs need unique skill sets above and beyond traditional PMs to be successful in the real world building AI/ML products Learn how AI product managers and execs need to think differently about customers, use cases, and how to translate them into tangible requirements for data engineers and data scientists This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA.
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    Executive Briefing : An age of embeddings (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 45 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Word embeddings first emerged as a revolutionary technique in natural language processing (NLP) in the last decade, allowing machines to read large reams of unlabeled text and automatically answer analogical questions such as, "What is to man as queen is to woman?" Modern embeddings leverage advances in deep neural networks to be effective. Following the success of word embeddings, there have been massive efforts in both academia and industry to embed all kinds of data, including images, speech, video, entire sentences, phrases and documents, structured data, and even computer programs. These piecemeal approaches are now starting to converge, drawing on a similar mix of techniques. Mayank Kejriwal (USC Information Sciences Institute) explores the ongoing movement that’s attempting to embed every conceivable kind of data, sometimes jointly, to build ever-more powerful predictive models. Mayank makes a business case for why you should care about embeddings and how you can position them as your organization’s secret sauce within a broader AI strategy. Prerequisite knowledge Experience implementing or deploying real-world machine learning projects, especially using neural networks (useful but not required) What you'll learn Learn what embeddings are and why they're so useful for predictive analytics Discover how embeddings can bolster your organization's AI strategy This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA.
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    Data science + design thinking : A perfect blend to achieve the best user experience (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: As data scientists, we invest much of our time on the business problem, the data, the statistics, the algorithm, and the model. But we can’t afford to overlook one very important component: the customer. A great AI and ML model with a poorly designed user experience is ultimately is going to fail. The world’s best data products are born from a perfect blend of data science and amazing user experience. Design thinking is a methodology for creative problem solving developed at the Stanford d.school and is used by world-class design firms like IDEO and many of the world’s leading brands like Apple, Google, Samsung, and GE. Michael Radwin (Intuit) prepares a recipe for applying design thinking to the development of AI/ML products. You’ll discover deep customer empathy and fall in love with the customer’s problem (not the team’s solution), and you’ll learn to go broad and narrow, focusing on what matters most to customers. Michael shows you how to get customers involved in the development process by running rapid experiments and quick prototypes. These lessons blending data science and design thinking can be applied to products that leverage supervised and unsupervised machine learning models, as well as “old-school” AI expert systems. You’ll take a look at several case studies along the way. Mint users lose $250 million in overdraft fees every year. Using the data from Mint’s 10 million users, Intuit applied a machine learning algorithm that predicts if you’re likely, within three days, to have an overdraft. Mint alerts you in time, with helpful suggestions on how to avoid the exorbitant insufficient funds fee. QuickBooks Self-Employed has an ML model and UX that allows automatic categorization of whether trips are business or personal to accurately rack up potential tax deductions. TurboTax’s Tax Knowledge Engine uses advanced AI to translate more than 80,000 pages of US tax requirements and instructions into a software oracle that can explain computations to DIY tax filers so they have greater confidence in the calculations in their returns, and can maybe save some of the 7 billion hours Americans spend collectively filing taxes every year. What you'll learn Discover deep customer empathy for the customer’s problem (not the team’s solution) Learn to go broad and narrow, focusing on what matters most to customers and how to get customers involved in the development process by running rapid experiments and quick prototypes This session is from the...
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    Build more inclusive TensorFlow pipelines with fairness indicators (2020)
    [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: Machine learning (ML) continues to drive monumental change across products and industries. But as we expand the reach of ML to even more sectors and users, it’s ever more critical to ensure that these pipelines work well for all users. Tulsee Doshi and Christina Greer outline their insights from their work in proactively building for fairness, using case studies built from Google products. They also explain the metrics that have been fundamental in evaluating their models at scale and the techniques that have proven valuable in driving improvements. Tulsee and Christina announce the launch of Fairness Indicators and demonstrate how the product can help with more inclusive development. Fairness Indicators is a new feature built into TensorFlow Extended (TFX) and on top of TensorFlow Model Analysis. Fairness Indicators enables developers to compute metrics that identify common fairness risks and drive improvements. You’ll leave with an awareness of how algorithmic bias might manifest in your product, the ways you could measure and improve performance, and how Google’s Fairness Indicators can help. Prerequisite knowledge A basic understanding of TensorFlow (useful but not required) What you'll learn Learn how to tactically identify and evaluate ML fairness risks using Fairness Indicators
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    Building and managing training datasets for ML with Snorkel (2020)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: One of the key bottlenecks in building ML systems is creating and managing the massive training datasets that today’s models learn from. Alex Ratner outlines work on Snorkel, an open source framework for building and managing training datasets, and details three key operators for letting users build and manipulate training datasets: labeling functions for labeling unlabeled data, transformation functions for expressing data augmentation strategies, and slicing functions for partitioning and structuring training datasets. These operators allow domain expert users to specify ML models via noisy operators over training data, leading to applications that can be built in hours or days rather than months or years. Alex explores recent work on modeling the noise and imprecision inherent in these operators and using these approaches to train ML models that solve real-world problems, including a recent state-of-the-art result on the SuperGLUE natural language processing benchmark task. Prerequisite knowledge A basic understanding of machine learning What you'll learn Discover learning techniques for building, managing, and iterating on training datasets and modeling pipelines for ML in general and using the Snorkel framework This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA.
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    A practical guide to algorithmic bias and explainability in machine learning (2020)
    [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: The concepts of “undesired bias” and “black box models” in machine learning have become a highly discussed topic due to the numerous high profile incidents that have been covered by the media. It’s certainly a challenging topic, as it could even be said that the concept of societal bias is inherently biased in itself, depending on an individual’s (or group’s) perspective. Alejandro Saucedo (The Institute for Ethical AI & Machine Learning) doesn’t reinvent the wheel; he simplifies the issue of AI explainability so it can be solved using traditional methods. He covers the high-level definitions of bias in machine learning to remove ambiguity and demystifies it through a hands-on example, in which the objective is to automate the loan-approval process for a company using machine learning, which allows you to go through this challenge step by step and use key tools and techniques from the latest research together with domain expert knowledge at the right points to enable you to explain decisions and mitigate undesired bias in machine learning models. Alejandro breaks undesired bias down into two constituent parts: a priori societal bias and a posteriori statistical bias, with tangible examples of how undesired bias is introduced in each step, and you’ll learn some very interesting research findings in this topic. Spoiler alert: Alejandro takes a pragmatic approach, showing how any nontrivial system will always have an inherent bias, so the objective is not to remove bias, but to make sure you can get as close as possible to your objectives and make sure your objectives are as close as possible to the ideal solution. You’ll assess bias in machine learning through three key steps, each with a real-life example: data analysis, inference result analysis, and production metrics analysis. Automating the loan-approval process will show bias that affects your results in a negative way, and you’ll learn techniques to ensure you perform a reasonable analysis as well as key touch points and metrics to ensure the right domain experts are involved. By the time you leave, you’ll have covered the fundamental topics in data science, such as feature importance analysis, class imbalance assessment, model evaluation metrics, partial dependence, feature correlation, etc. More importantly, you’ll understand how these fundamentals can interact at different touch points with the right domain experts to ensure undesired bias is identified and documented. All will be cove...
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    Meet the Expert : Heidi Helfand on Dynamic Reteaming (2020)
    [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: Your team will change whether you like it or not. People will come and go. Your company might double in size or even be acquired. The good news: successfully managing this change can lead to better productivity and more innovation. Join us for this edition of Meet the Expert with Heidi Helfand to learn techniques for reteaming effectively. Engineering leaders will discover how to catalyze team change to reduce the risk of attrition, learning and career stagnation, and the development of knowledge silos. Heidi shares patterns based on research into several well-known software companies that will help you effectively integrate new hires into an existing team, manage a team that’s lost members, and deal with unexpected change. You’ll learn when to split a team, how to isolate teams for focused innovation, how to rotate team members for knowledge sharing, how to break through organizational apathy, and much more. O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
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    How Jumio is using deep learning and computer vision to authenticate and verify the legitimacy of important legal documents (2020)
    [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: Labhesh Patel explains how deep learning is informing Jumio's computer vision through smarter data extraction, fraud detection, and risk scoring and how Jumio is leveraging massive datasets and human review to dramatically improve the accuracy of its machine learning algorithms to detect bogus IDs and streamline the verification process of legitimate documents.
    Note: Online resource; Title from title screen (viewed July 31, 2020) , Mode of access: World Wide Web.
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    How GrubHub safely rolled out complex changes at scale with Microservices (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Jeffrey Valeo explains how to safely rollout complex changes at scale.
    Note: Online resource; Title from title screen (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 86
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    Strata Data & AI Superstream Series—Data Analytics : From Collection to Visualization (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This three-part series of half-day online events gives attendees an overarching perspective on key topics in data and AI today, including deep learning, data analytics, and natural language processing. Each of these areas is pushing the boundaries of what’s possible with more computing power, data, and innovative algorithms. The ability to quickly analyze and visualize your data and make data-driven decisions has become imperative to staying competitive. These sessions will give data practitioners and leaders the skills and competency to deliver high-value analytics to their organizations. About the presenters: Galen Silvestri is a Senior Sales Engineer for GigaSpaces, responsible for aligning its unique In-Memory Computing Platform with solutions for Tier 1 Fintech, telecom, transportation, and retail organizations. He has 10+ years in SA/SE roles handling Machine Learning based solutions for real-time fraud and Quality of Experience (QoE), media metadata generation, UX analytics and more. His experience converges via a passion for aligning system integrations for both human and tech stack participants/components towards interoperability at a holistic level, balanced with maintaining best practices & unique workflow at an individual level. Jennifer Fraser is the director of user experience at design and development consultancy Macadamian. In her almost 20 years as a user experience designer, she’s had the opportunity to work with a variety of clients, from large institutions to small startups, in domains including healthcare, aviation, and finance. Scott Plewes is Vice President of UX analytics at Macadamian. Over the past 25 years, he’s worked in the areas of business strategy, product design, and development in the high-tech sector, for clients in industries such as aviation, telecom, and finance. For the last several years, he’s primarily focused on healthcare. Alistair Croll who is the author of the best-selling book Lean Analytics , shows you how to apply critical thinking to data science. From design and data collection to storage and visualization, you’ll learn how to avoid the most common pitfalls and make better decisions faster as you cover the Lean Analytics framework, the cycle of collection, analysis, presentation, and more. Whether you’re working directly with data, managing analytical teams, or running an organization that relies on data science, you’ll get the tools you need to make informed decisions you can build on.
    Note: Online resource; Title from title screen (viewed August 26, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Fabric for deep learning at IBM (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 45 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Training deep neural network models requires a highly tuned system with the right combination of software, drivers, compute, memory, network, and storage resources. Deep learning frameworks like TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have contributed to the popularity of deep learning by reducing the effort and skill needed to design, train, and use deep learning models. Fabric for Deep Learning (FfDL, pronounced “fiddle”) provides a consistent way to run these deep learning frameworks as a service on Kubernetes. FfDL uses a microservices architecture to reduce coupling between components, keep each component simple and as stateless as possible, isolate component failures, and allow each component to be developed, tested, deployed, scaled, and upgraded independently. Animesh Singh, Atin Sood, and Tommy Li share lessons learned while building and using FfDL and demonstrate how to leverage it to execute distributed deep learning training for models written using multiple frameworks, using GPUs and object storage constructs. They then explain how to take models from IBM’s Model Asset Exchange, train them using FfDL, and deploy them on Kubernetes for serving and inferencing. This session is sponsored by IBM.
    Note: Online resource; Title from title screen (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 88
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    How the Washington Post uses machine learning to predict article popularity (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Predicting which stories will become popular is an invaluable tool for newsrooms. Eui-Hong Han and Shuguang Wang explain how the Washington Post predicts what stories on its site will be popular with readers and share the challenges they faced in developing the tool and metrics on how they refined the tool to increase accuracy.
    Note: Online resource; Title from title screen (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 89
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    How NS1 used ELK to improve efficiency with time series (2020)
    [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: Christian Saide explains how NS1 was able to reduce infrastructure, maintenance, and operational costs while simultaneously increasing throughput and visibility of key metrics by leveraging Elasticsearch as a time series database.
    Note: Online resource; Title from title screen (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 90
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    How Naxex uses Domain-Driven Design (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 49 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: It turns out that domain-driven design is not just for cargo shipping. Vladik Khononov (Naxex) explains how he and his team embraced domain-driven design (DDD) (with very limited resources and a very short time to market) at Plexop, a large-scale marketing system that spans over a dozen different business domains. Join in to learn how DDD allowed the team to manage business complexities, find out strategies for defining context boundaries, explore lessons learned the hard way, and discover where they had to adapt the DDD methodology to fit the company’s needs. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 91
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    How Instagram has evolved using Open Source (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Hui Ding explains how open source software has helped lead to Instagram's success—particularly Django, the open source Python-based framework. Hui discusses Instagram's evolution from a mere follower falling behind the community to a leading contributor and shares perspectives on aligning Instagram's engineering team and working with the Python community.
    Note: Online resource; Title from title screen (viewed July 31, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 92
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    How Fastly used Prometheus to improve infrastructure and application monitoring (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: How might your organization navigate a move from traditional push based monitoring to a pull based system? We’ll share our recent experience migrating to Prometheus for our infrastructure and application monitoring at Fastly.
    Note: Online resource; Title from title screen (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 93
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    Debugging application performance : Lessons from HPE (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Amichai Nitsan explores the ins and out of tuning a "tuning" application in a large-scale development environment, using the application itself (AppPulse Trace) while in the process of developing it—an example of recursion at its best.
    Note: Online resource; Title from title screen (viewed October 6, 2020) , Mode of access: World Wide Web.
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  • 94
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    Building engineering teams under pressure at Slack (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Julia Grace has built teams at IBM Research, startups, and Slack and has done due diligence for venture capitalists to determine how well a startup’s engineering team is working together. Drawing on this knowledge, Julia discusses how she tackled a number of challenges in scaling engineering at Slack as the platform grew.
    Note: Online resource; Title from title screen (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 95
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    Meet the Expert : Lenny Rosenfeld on Building a Next-Gen Data Platform at Nasdaq (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: As data volumes grow exponentially, scaling out gets more expensive, data access grows slower, and building and maintaining a data platform using proprietary technologies and protocols becomes less and less feasible. To meet this challenge, Nasdaq’s data customers are increasingly moving to the cloud, so the company needed to develop a future-proof, scalable, and feature-rich platform to meet their user and data demands. Join us for this edition of Meet the Expert with Lenny Rosenfeld to learn how Nasdaq embraced open source technologies, the cloud, and DevOps culture to build its next-gen data platform. You’ll dive into the modern yet proven stack based on open technologies (Kafka and Spark), open file formats (Parquet and Avro), and a venue-agnostic fabric (Kubernetes) that helps the company deploy to any cloud no matter where its customers are. And you’ll learn how this was accomplished by only four people—and in under six months. Get the real story, hear what the team learned, and catch a glimpse of the future of enterprise data platforms along the way. O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions. What you'll learn-and how you can apply it By the end of this live show, you’ll better understand: How Nasdaq built a future-proof, scalable, and feature-rich data platform How the company chose a modern yet proven stack of open source tools, including Spark, Kafka, Parquet, Avro, and Kubernetes This Discussion is for you because... You’re interested in building and scaling your data platform using open source tools. You want to learn tools and best practices for working with lots of data, even with a small team. Prerequisites: Come with your questions for Lenny Rosenfeld Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Learning Spark, second edition (book) Read Kafka: The Definitive Guide, second edition (book) Read Kubernetes Up and Running, second edition (book) Watch Spotlight on Data: Self-Service Data—Reliable Data Pipelines at Intuit with Sandeep Uttamchandani (video, 50m)
    Note: Online resource; Title from title screen (viewed November 23, 2020) , Mode of access: World Wide Web.
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  • 96
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    Migrating Spotify's runtime to Kubernetes (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Spotify recently completed the migration of all services from running on bare-metal hardware to hosts in the cloud on GCP. Spotify is now in the exciting process of journeying from merely cloud hosted to cloud native via migrating the running of services to Kubernetes. James Wen discusses the work involved, lessons learned, and pitfalls encountered in moving services onto Kubernetes.
    Note: Online resource; Title from title screen (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 97
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    Improving content infrastructure at Contentful (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Today, your product's success depends on the creation of experiences in a steadily rising number of channels, leading to increasing demands for your content management system. Stefan Judis explains how Contentful’s content infrastructure helps developers on the frontline fetch the data they need, ship modern websites faster, and automate content distribution while using their favorite tools.
    Note: Online resource; Title from title screen (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 98
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    How Ticketmaster transitioned to DevOps hybrid cloud (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Heather Osborn explains how Ticketmaster moved from a siloed on-premises environment to a DevOps hybrid cloud. If a company whose technology and human infrastructure have grown up organically around a custom-written VAX operating system can make the move to public cloud-native applications and begin a rapid march to a hybrid cloud solution, so can you.
    Note: Online resource; Title from title screen (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 99
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    Strata Data & AI Superstream Series : Natural Language Processing (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sponsored by Intel Machines that can converse with humans are no longer science fiction; they’re here, and they’re in production. Get up to speed on what’s possible today—systems that understand human language, answer questions, summarize large bodies of documents, and use that information to solve problems. What you'll learn-and how you can apply it Explore the concept of sociolinguistic variation and see how it affects machine learning models Discover evaluation techniques for trained models to ensure your system is working for everybody Learn how to build language-powered apps fast using pretrained open source and cloud natural language models Understand how to run inference NLP models and applications at scale using the Intel Distribution of OpenVINO toolkit This Superstream is for you because... You want to explore the latest in natural language processing (NLP) tools and techniques You want to learn how to use TensorFlow to build AI applications that can understand and create text You care about fairness and want to understand what that means for your NLP projects in practical terms You want to learn how to create language-powered apps without having to build a model from scratch Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration
    Note: Online resource; Title from title screen (viewed October 29, 2020) , Mode of access: World Wide Web.
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  • 100
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    Trill : The crown jewel of Microsoft’s streaming pipeline explained (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The Trill data engine is the power behind many of Microsoft’s offerings, from products like Azure Stream Analytics to billion-dollar services like Bing Ads. It has now been open-sourced and is available to everyone. But it has been a long path to get there. James Terwilliger, Badrish Chandramouli, and Jonathan Goldstein explore the history of decades of streaming data processing at Microsoft: a beginning in research, a first product in StreamInsight, the transition to the cloud, and all the pain points along the way. A key result of that lineage and learning has been the Trill engine, which has three key properties a single standalone data processing engine for all temporal data, no matter if the data is streamed or stored; a simple API that integrates seamlessly with the programming language; and performance without ego, a willingness to use every lesson learned to improve throughput in every way possible. They dive deep into why each of those properties is important through examples. A simple application to demonstrate the basics of Trill: joins, aggregation, windowing; a more complicated application to demonstrate the power of Trill’s API: progressive windowing, regular expressions and pattern detection, data-dependent windows; and an overview of the kind of query used by Bing Ads, a query to run a multi-billion-dollar business. You’ll see a performance showcase: running the previous examples to demonstrate how Trill got its name—processing a trillion events per day on a single node. Prerequisite knowledge A working knowledge of streaming data systems (useful but not required) What you'll learn Learn about temporal data versus temporal queries and data-dependent and custom temporal windowing This session is from the 2019 O'Reilly Strata Conference in New York, NY.
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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