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Data warehousing, data mining, and OLAP

By: Berson, AlexContributor(s): Smith, Stephen JMaterial type: Text

TextPublication details: New York : McGraw-Hill, 1997Description: xxvi, 612 p. : illustrationsISBN: 0070062722; 9780070062726; 9780071202572 ; 0071202579Subject(s): Data warehousing | Data mining | OLAP technologyDDC classification: 005.74

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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Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Books	Pampaimadu Reference	Reference	005.74 BER (Browse shelf(Opens below))	Available		009113

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Previous	005.73 TRE An Introduction to Data Structures with Applications	005.73 WEI Data structures and algorithm analysis in Java /	005.74 ADR Data Mining	005.74 BER Data warehousing, data mining, and OLAP	005.74 BEY Database systems	005.74 BLO Blockchain technology :	005.74 CON Database systems : a practical approach to design, implementation, and management	Next

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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