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Enterprise Data Architecture: How to navigate its landscapeBy Dave Knifton
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This book is an essential read for Data Architects or indeed anyone wanting to improve the benefit that their organisation can derive from its data usage. It does this by providing principles and models that are appropriate to use within any framework, or even the absence of one. The book is designed to be practical and contains many tips and suggestions as well as examples that can be used as the basis for the reader's own Data Architectural definitions. The breadth of the book covers contemporary themes for Data Architecture and the chapters include; Data Modelling, Enterprise Data Models, Data Governance, Master Data Management and Big Data.
- Amazon Sales Rank: #1389293 in Books
- Published on: 2014-10-16
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x .48" w x 6.14" l, .68 pounds
- Binding: Paperback
- 228 pages
From the Back Cover "David has been there and dealt with the issues, which is why this book is an outstanding resource for Data Architects and indeed anyone dealing with the serious challenges of an enterprise data landscape." - Richard Rendell, Technical Services Director, AgeSmart "An essential read for anyone wishing to practically achieve more benefit from data for their organisation within today's constraints." Reem Zahran - Director, Offering Development, IMS Health "This book provides a comprehensive set of tools enabling you to improve the business outcomes from your organisation's use of data." Andrew Rowland, Global Head Database Engineering, UBS
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