Data warehousing, data mining, and OLAP
Material type: TextPublication details: New York : McGraw-Hill, 1997.Description: xxvi, 612 p. : illustrationsISBN:- 0070062722
- 9780070062726
- 9780071202572
- 0071202579
- 005.74 BER
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Reference Books | Main Library Reference | Reference | 005.74 BER (Browse shelf(Opens below)) | Available | 009113 |
Included Index.
Ch. 1. Introduction to Data Warehousing --
Ch. 2. Client/Server Computing Model and Data Warehousing --
Ch. 3. Parallel Processors and Cluster Systems --
Ch. 4. Distributed DBMS Implementations --
Ch. 5. Client/Server RDBMS Solutions --
Ch. 6. Data Warehousing Components --
Ch. 7. Building a Data Warehouse --
Ch. 8. Mapping the Data Warehouse to a Multiprocessor Architecture --
Ch. 9. DBMS Schemas for Decision Support --
Ch. 10. Data Extraction, Cleanup, and Transformation Tools --
Ch. 11. Metadata --
Ch. 12. Reporting and Query Tools and Applications --
Ch. 13. On-Line Analytical Processing (OLAP) --
Ch. 14. Patterns and Models --
Ch. 15. Statistics --
Ch. 16. Artificial Intelligence --
Ch. 17. Introduction to Data Mining.
This reference provides strategic, theoretical and practical insight into three information management technologies: data warehousing, online analytical processing (OLAP), and data mining.
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