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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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