Data management at a scale : best practice for enterprise architecture / Piethein Strengholt
Material type:
- 9781492054788
- QA 76.9 .S77 2020
Item type | Current library | Collection | Call number | Materials specified | Status | Date due | Barcode |
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NU Clark Circulation | Non-fiction | GC QA 76.9 .S77 2020 (Browse shelf(Opens below)) | Available | NUCLA000005348 |
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GC QA 76.9 .S65 2020 c.1 Introduction to the tools of science computing / | GC QA 76.9 .S65 2020 c.2 Introduction to the tools of science computing / | GC QA 76.9 .S65 2020 c.3 Introduction to the tools of science computing / | GC QA 76.9 .S77 2020 Data management at a scale : best practice for enterprise architecture / | GC QA 76.27 .A48 2022 The Self-taught computer scientist : the beginner's guide to data structures & algorithms / | GC QA 76.73 .B87 2021 Beginning programming with java for dummies / | GC QA 76.73 .C43 2022 c.1 Domain-driven design with java - a practitioner's guide : create simple, elegant, and valuable software solutions for complex business problems / |
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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