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Data Management at Scale: Best Practices for Enterprise Architecture
US $29.99
ApproximatelyRM 126.15
Condition:
Brand New
A new, unread, unused book in perfect condition with no missing or damaged pages.
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US $5.22 (approx RM 21.96) USPS Media MailTM.
Located in: Dalton, Georgia, United States
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Estimated between Tue, 19 Aug and Tue, 26 Aug to 94104
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eBay item number:387274281772
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Binding
- Paperback
- Product Group
- Book
- Weight
- 1 lbs
- IsTextBook
- No
- ISBN
- 9781492054788
About this product
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
Subject
Web / Web Services & APIs, Cloud Computing, Data Modeling & Design, Data Processing, Databases / Data Mining
Publication Year
2020
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
Item description from the seller
Seller feedback (430)
- 9***1 (33)- Feedback left by buyer.Past monthVerified purchaseGlad to have this item. Looks in great condition. Looks like previous owner book it and never read it or touched it. In great condition. Would buy from seller again.
- t***e (2087)- Feedback left by buyer.Past monthVerified purchaseWork great. Thanks
- c***c (741)- Feedback left by buyer.Past monthVerified purchaseThe description mentioned damage on carton. Cartridge was in excellent condition
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