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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (86 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The amount of data generated is growing tremendously in size and complexity. As trends in data management and integration, such as cloud, API management, microservices, open data, software as a service (SaaS), and new software delivery models, continue to evolve rapidly, data warehouses and data lakes are no longer scalable. With this practical book, you'll learn how to migrate your enterprise from a complex and tightly coupled data landscape to a new data management architecture that's more flexible, distributed, and scalable. Ready for the modern world of data consumption, this architecture can be introduced incrementally without a large up-front investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. In three parts, this book helps you: Examine data management trends and difficulties, including technological developments and regulatory and privacy requirements that puzzle enterprises Go deep into this innovative new architecture and learn how the pieces fit together Explore data governance and security, business intelligence, and analytics Understand data management, self-service data marketplaces, and the importance of metadata
    Note: Online resource; Title from title page (viewed November 25, 2020)
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  • 2
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Database management ; Management information systems ; Information storage and retrieval systems ; Data warehousing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: The ability to store, process, and manage 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. And the data lakehouse emerged as a solution that combined the strengths of both models. But with the number of versatile data storage and management options available, it can be hard to figure out which solution is right for you. These expert-led sessions will give data engineers, software engineers, and solution architects insight into how to increase the scalability, speed, and availability of your data, along with best practices for best utilizing your data warehouse, data lake, or data lakehouse. About the Data Superstream Series: This Superstream series is designed to help your organization maximize the business impact of your data, and packed with insights from key 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 Get an overview of the latest technologies for storing and managing your data Discover the benefits of implementing a data lakehouse for improved analytics and data science Understand how to perform robust analytics on a cloud data warehouse Find out how to test data quality at scale with Apache Iceberg Learn best practices for using a data mesh approach Explore how to democratize and leverage machine learning on a data lakehouse This recording of a live event is for you because... You're a data or software engineer or solution architect interested in learning about the latest trends in storing, processing, and managing data. You want to improve the scalability, speed, and availability of your data. 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 The Cloud Data Lake (book) Read Data Management at Scale, second edition (book) Take Google BigQuery First Steps (live online training course with Joy Payton) Take Data Lakehouse Fundamentals (live online training course with Janani Ravi) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2023)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media, Inc.
    ISBN: 9781098138851 , 1098138856
    Language: English
    Pages: 1 online resource (50 pages) , illustrations
    Edition: Second edition.
    DDC: 005.74
    Keywords: Database management ; Database design ; Electronic data processing Management ; Information technology Management ; Electronic books
    Abstract: As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed.
    Note: Includes bibliographical references and index
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  • 4
    Orig.schr. Ausgabe: 初版.
    Title: 大規模データ管理 : : エンタープライズアーキテクチャのベストプラクティス /
    Publisher: オライリー・ジャパン,
    ISBN: 9784814400089 , 481440008X
    Language: Japanese
    Pages: 1 online resource (372 pages)
    Edition: Shohan.
    Uniform Title: Data management at scale
    DDC: 005.74
    Keywords: Database management ; Electronic data processing Management ; Information technology Management
    Abstract: "As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you'll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata." --
    Note: Includes bibiographical references , In Japanese.
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