Fundamentals of Data Warehouses

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.

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Other editions

• 

  Fundamentals of Data Warehouses

  • 2013-03-09
  • 224 pages
  • Ebook
  • Springer Science & Business Media
• 

  Fundamentals of Data Warehouses

  • 2000
  • 195 pages
  • Paperback
  • Springer Berlin Heidelberg

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