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| DW 2.0: THE ARCHITECTURE FOR THE NEXT GENERATION OF DATA WAREHOUSING
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 To order this title, and for more information, click here
By
William Inmon, Inmon Data Systems, Castle Rock, CO, USA
Derek Strauss, CEO and Founder, Gavroshe
Genia Neushloss, Co-founder, Gavroshe
Description
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.
Audience
Professionals in the IT organization, including data architects, DBAs, systems design and development professionals, as well as data warehouse and knowledge management professionals.
Contents
1. A brief history of data warehousing; 1st generation of data warehouses
2. DW 2.0 – an overview; the components
3. DW 2.0 components
- the interactive sector
- the integrated sector
- the near line sector
- the archival sector
4. The metadata infrastructure; enterprise
metadata; business metadata; technical metadata
5. Creating the fluid technological infrastructure for DW 2.0
- the underlying technology
approach
- the separation of static and temporal data
6. Methodology
- the waterfall approach for operational – like components
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the iterative approach for the DSS environment
7. Statistical and exploration processing
- the exploration warehouse
- sources of data
for the exploration warehouse
- heuristic processing
8. Data modeling for the DW 2.0 environment
9. Monitoring the DW 2.0 environment
10. Security in the DW 2.0 environment
11. Time variant data – data structure representation
12. Connectivity – how the different parts
of the DW 2.0 environment connect
13. ETL – the role of ETL and the existence of seemingly redundant data
14. The granularity manager
15. Performance across the architecture
16. Migration from 1st generation data warehouses to DW 2.0
17. Cost justification of DSS processing
in DW 2.0
18. Data quality in DW 2.0
19. Conditioning unstructured data for entry into the DW 2.0 environment
20. DW 2.0 and the System
of Record
21. Miscellaneous Topics
22. Processing in the DW 2.0 Environment
23. Administering the DW 2.0 Environment
| Bibliographic details |
Paperback, 400 pages, publication date: JUN-2008
ISBN-13: 978-0-12-374319-0
Imprint: MORGAN KAUFFMAN
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| Price and Ordering |
Price:
EUR 49.95
GBP 34.99
USD 59.95
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Last update: 27 Sep 2008
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