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

By: Material type: TextTextPublication details: India Shroff Publishers 2020Description: 328 pISBN:
  • 9789385889042
Subject(s): DDC classification:
  • 005.74 STR-P
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Holdings
Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
Books Books BITS Pilani Hyderabad 003-007 General Stack (For lending) 005.74 STR-P (Browse shelf(Opens below)) Available 46295
Total holds: 0

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 learn how 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.

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