DW 2.0: The Architecture for the Next Generation of Data WarehousingBy
- William Inmon
- Derek Strauss
- Genia Neushloss
Data Warehousing has been around for 20 years and has become part of the information technology infrastructure. Data warehousing originally grew in response to the corporate need for information--not data--and it supplies integrated, granular, and historical data to the corporation. There are many kinds of data warehouses, in large part due to evolution and different paths of software and hardware vendors. But DW 2.0, defined by this author in many talks, articles, and his b-eye-network newsletter that reaches 65,000 professionals monthly, is the well-identified and defined next generation data warehouse. The book carries that theme and describes the future of data warehousing that is technologically possible now, 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. The benefit of this for people who are building or using a data warehouse can see what lies ahead, and can 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. All of this gives the experienced data warehouse professional everything and exactly what is needed in order to implement the new generation DW 2.0.
Professionals in the IT organization, including data architects, DBAs, systems design and development professionals, as well as data warehouse and knowledge management professionals.
Paperback, 400 Pages
Published: June 2008
Imprint: Morgan Kaufmann
- 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