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Data Management at Scale: Best Practices for Enterprise Architecture
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Ca.EUR 25,75
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- Sofort-KaufenData Management at Scale: Best Practices for Enterprise Architecture
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US $5,22 (ca. EUR 4,48) USPS Media MailTM.
Standort: Dalton, Georgia, USA
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eBay-Artikelnr.:387274281772
Artikelmerkmale
- Artikelzustand
- Binding
- Paperback
- Product Group
- Book
- Weight
- 1 lbs
- IsTextBook
- No
- ISBN
- 9781492054788
Über dieses Produkt
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
149205478X
ISBN-13
9781492054788
eBay Product ID (ePID)
12050372206
Product Key Features
Number of Pages
345 Pages
Publication Name
Data Management at Scale : Best Practices for Enterprise Architecture
Language
English
Publication Year
2020
Subject
Web / Web Services & APIs, Cloud Computing, Data Modeling & Design, Data Processing, Databases / Data Mining
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
0.9 in
Item Weight
21.2 Oz
Item Length
9.2 in
Item Width
7 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2021-443715
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.74
Synopsis
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, 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
LC Classification Number
QA76.9.D3S773 2020
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