Fundamentals of data warehouses
Author(s)
Bibliographic Information
Fundamentals of data warehouses
Springer, c2003
2nd, rev. and extended ed.
Available at / 6 libraries
-
No Libraries matched.
- Remove all filters.
Note
Includes index
Description and Table of Contents
Description
This book presents the first comparative review of the state of the art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design optimization. A conceptual framework is presented by which the architecture and quality of a data warehouse can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence.
Table of Contents
1 Data Warehouse Practice: An Overview.- 2 Data Warehouse Research: Issues and Projects.- 3 Source Integration.- 4 Data Warehouse Refreshment.- 5 Multidimensional Data Models and Aggregation.- 6 Query Processing and Optimization.- 7 Metadata and Data Warehouse Quality.- 8 Quality-Driven Data Warehouse Design.- Appendix A. ISO Standards Information Quality.- Appendix B. Glossary.
by "Nielsen BookData"