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Data Warehousing and Decision Support

Data Warehousing and Decision Support. Jianlin Feng School of Software SUN YAT-SEN UNIVERSITY. Introduction. Three Complementary Trends. Warehousing Issues. MOLAP vs. ROLAP. OLAP Queries. OLAP Queries (Contd.). Comparison with SQL Queries. The CUBE Operator. Design Issues.

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Data Warehousing and Decision Support

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  1. Data Warehousing and Decision Support Jianlin Feng School of Software SUN YAT-SEN UNIVERSITY

  2. Introduction

  3. Three Complementary Trends

  4. Warehousing Issues

  5. MOLAP vs. ROLAP

  6. OLAP Queries

  7. OLAP Queries (Contd.)

  8. Comparison with SQL Queries

  9. The CUBE Operator

  10. Design Issues

  11. Implementation Issues

  12. View Materialization • View Materialization means we physically pre-compute a view and use the materialized view to speed-up queries. • Pre-computation of a Data Cube is a special kind of view materialization. • Materialized views need maintenance.

  13. Summary • Decision support is an emerging, rapidly growing subarea of databases. • Involves the creation of large, consolidated data repositories called data warehouses. • Warehouses exploited using sophisticated analysis techniques: complex SQL queries and OLAP “multidimensional”queries (influenced by both SQL and spreadsheets). • New techniques for database design, indexing, view maintenance, and interactive querying need to be supported.

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