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Data management at a scale : best practice for enterprise architecture / Piethein Strengholt

By: Material type: TextTextPublication details: 1005 Gravenstein Highway North, Sebastopol, CA 95472 : O'Reilly Media, Inc., c2020Edition: First EditionDescription: viii, 328 pages : color illustrations ; 24 cmISBN:
  • 9781492054788
Subject(s): LOC classification:
  • QA 76.9 .S77 2020
Contents:
Foreword -- Preface -- 1. The disruption of data management -- 2. Introducing the scaled architecture: Organizing data at scale -- 3. Managing vast amounts of data: The read-only data stores architecture -- 4. Services and API management: The API architecture -- 5. Event and response management: The streaming architecture -- 6. Connecting the dots -- 7. Sustainable data governance and data security -- 8. Turning data into value -- 9. Mastering enterprise data assets -- 10. Democratizing data with metadata -- 11. Conclusion -- Glossary -- Index.
Summary: "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.'
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Holdings
Item type Current library Collection Call number Materials specified Status Date due Barcode
Books Books NU Clark Circulation Non-fiction GC QA 76.9 .S77 2020 (Browse shelf(Opens below)) Available NUCLA000005348

Includes index

Foreword -- Preface -- 1. The disruption of data management -- 2. Introducing the scaled architecture: Organizing data at scale -- 3. Managing vast amounts of data: The read-only data stores architecture -- 4. Services and API management: The API architecture -- 5. Event and response management: The streaming architecture -- 6. Connecting the dots -- 7. Sustainable data governance and data security -- 8. Turning data into value -- 9. Mastering enterprise data assets -- 10. Democratizing data with metadata -- 11. Conclusion -- Glossary -- Index.

"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.'

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