Data Warehousing Data Mining And Olap Alex Berson Pdf

Data Warehousing Data Mining And Olap Alex Berson Pdf 9,1/10 2525 reviews

This reference provides strategic, theoretical and practical insight into three information management technologies: data warehousing, online analytical processing (OLAP), and data mining. It shows how these technologies can work together to create a new class of information delivery system: the information factory. The book includes models and indexing techniques, and discusses application development using OLAP tools. Alex Berson is the author of 'Client/Server Computing', and co-author (with George Anderson) of 'Client/Server Database Design with Sybase' and 'Sybase and Client/Server Computing'.

Data Warehousing, Data Mining, and OLAP (Data Warehousing/Data Management) Hardcover – November 5, 1997 by Alex Berson (Author). Optimize your organization's data delivery system! Improving data delivery is a top priority in business computing today. This comprehensive,cutting-edge guide can help—by showing you how to effectively integrate data mining and other powerful data warehousing technologies.

• • Title • Data warehousing, data mining, and OLAP / Alex Berson, Stephen J. Also Titled • Data warehousing, data mining & OLAP Author • Berson, Alex. Other Authors • Smith, Stephen J. Published • New York: McGraw-Hill, c1997. Physical Description • xxvi, 612 p.: ill.; 25 cm. Series • Subjects • • • Contents • Ch.

Introduction to Data Warehousing • Ch. Client/Server Computing Model and Data Warehousing • Ch.

Parallel Processors and Cluster Systems • Ch. Distributed DBMS Implementations • Ch. Client/Server RDBMS Solutions • Ch.

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Data Warehousing Components • Ch. Building a Data Warehouse • Ch.

Mapping the Data Warehouse to a Multiprocessor Architecture • Ch. DBMS Schemas for Decision Support • Ch. Data Extraction, Cleanup, and Transformation Tools • Ch.

Metadata • Ch. Reporting and Query Tools and Applications • Ch. On-Line Analytical Processing (OLAP) • Ch. Patterns and Models • Ch. Statistics • Ch. Artificial Intelligence • Ch.

Introduction to Data Mining • Ch. Decision Trees • Ch.

Neural Networks • Ch. Nearest Neighbor and Clustering • Ch. Genetic Algorithms • Ch. Rule Induction • Ch. Selecting and Using the Right Technique • Ch.

Data Visualization. Putting It All Together • App.

Big Data - Better Returns: Leveraging Your Hidden Data Assets to Improve ROI • App. Codd's 12 Guidelines for OLAP • App. 10 Mistakes for Data Warehousing Managers to Avoid. • Notes • Includes bibliographical references and index.

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Language • English ISBN •: Dewey Number • 005.74 Libraries Australia ID • Contributed by Get this edition.