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W.h. Inmon - DW 2.0: The Architecture for the Next Generation of Data Warehousing - 9780123743190 - V9780123743190
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DW 2.0: The Architecture for the Next Generation of Data Warehousing

€ 63.43
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Description for DW 2.0: The Architecture for the Next Generation of Data Warehousing Paperback. Looks at the overall architecture and delves into the issues underlying the components of Data Warehousing. This book provides comprehensive coverage of the implementation of technology and tools that enable the new generation of the DW: metadata, temporal data, ETL, unstructured data, and data quality control. Num Pages: 400 pages, Approx. 360 illustrations. BIC Classification: KJQ; UNC. Category: (P) Professional & Vocational. Dimension: 235 x 192 x 26. Weight in Grams: 752.
DW 2.0: The Architecture for the Next Generation of Data Warehousing is the first book on the new generation of data warehouse architecture, DW 2.0, by the father of the data warehouse. The book describes the future of data warehousing that is technologically possible today, at both an architectural level and technology level. The perspective of the book is from the top down: looking at the overall architecture and then delving into the issues underlying the components. This allows people who are building or using a data warehouse to see what lies ahead and determine what new ... Read more

Product Details

Format
Paperback
Publication date
2008
Publisher
Elsevier Science & Technology United States
Number of pages
400
Condition
New
Number of Pages
400
Place of Publication
San Francisco, United States
ISBN
9780123743190
SKU
V9780123743190
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

About W.h. Inmon
Best known as the “Father of Data Warehousing," Bill Inmon has become the most prolific and well-known author worldwide in the big data analysis, data warehousing and business intelligence arena. In addition to authoring more than 50 books and 650 articles, Bill has been a monthly columnist with the Business Intelligence Network, EIM Institute and Data Management Review. In 2007, ... Read more

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