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Data warehousing, data mining, and OLAP

By: Contributor(s): Material type: TextTextPublication details: New York : McGraw-Hill, 1997.Description: xxvi, 612 p. : illustrationsISBN:
  • 0070062722
  • 9780070062726
  • 9780071202572
  • 0071202579
Subject(s): DDC classification:
  • 005.74 BER
Contents:
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.
Summary: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library Reference Reference 005.74 BER (Browse shelf(Opens below)) Available 009113
Total holds: 0

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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