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DW 2.0: The Architecture for the Next Generation of Data Warehousing
The first book on the new generation of data warehouse architecture, DW 2.0--by the "father of the data warehouse".
W.H. Inmon (Author), Derek Strauss (Author), Genia Neushloss (Author)
9780123743190, Elsevier Science
Paperback / softback, published 13 August 2008
400 pages, Approx. 360 illustrations
23.4 x 19 x 2.5 cm, 0.81 kg
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 technology to buy, how to plan extensions to the data warehouse, what can be salvaged from the current system, and how to justify the expense at the most practical level. This book gives experienced data warehouse professionals everything they need in order to implement the new generation DW 2.0. It is designed for professionals in the IT organization, including data architects, DBAs, systems design and development professionals, as well as data warehouse and knowledge management professionals.
1. A brief history of data warehousing
1st generation of data warehouses2. DW 2.0 – an overview
the components3. DW 2.0 components - the interactive sector - the integrated sector - the near line sector - the archival sector4. The metadata infrastructure
enterprise metadata
business metadata
technical metadata5. Creating the fluid technological infrastructure for DW 2.0 - the underlying technology approach - the separation of static and temporal data6. Methodology - the waterfall approach for operational – like components - the iterative approach for the DSS environment7. Statistical and exploration processing - the exploration warehouse - sources of data for the exploration warehouse - heuristic processing8. Data modeling for the DW 2.0 environment9. Monitoring the DW 2.0 environment10. Security in the DW 2.0 environment11. Time variant data – data structure representation12. Connectivity – how the different parts of the DW 2.0 environment connect13. ETL – the role of ETL and the existence of seemingly redundant data14. The granularity manager15. Performance across the architecture16. Migration from 1st generation data warehouses to DW 2.017. Cost justification of DSS processing in DW 2.018. Data quality in DW 2.019. Conditioning unstructured data for entry into the DW 2.0 environment20. DW 2.0 and the System of Record21. Miscellaneous Topics22. Processing in the DW 2.0 Environment23. Administering the DW 2.0 Environment
Subject Areas: Data capture & analysis [UNC], Database programming [UMT], Enterprise software [UFL], Business mathematics & systems [KJQ], Library, archive & information management [GLC]
