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Summary

  • Data warehousing: A multi-dimensional model of a data warehouse
    • A data cube consists of dimensions & measures
    • Star schema, snowflake schema, fact constellations
    • OLAP operations: drilling, rolling, slicing, dicing and pivoting
  • Data Warehouse Architecture, Design, and Usage
    • Multi-tiered architecture
    • Business analysis design framework
    • Information processing, analytical processing, data mining, OLAM (Online Analytical Mining)
  • Implementation: Efficient computation of data cubes
    • Partial vs. full vs. no materialization
    • Indexing OALP data: Bitmap index and join index
    • OLAP query processing
    • OLAP servers: ROLAP, MOLAP, HOLAP
  • Data generalization: Attribute-oriented induction

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