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  1. Subjects
  2. /
  3. Information Technology
  4. /
  5. Information Technology Grade 12 — Theory
  6. /
  7. Database Management
  8. /
  9. Data warehousing
Grade 12 · Theory

Data warehousing

Database Management · about 3 min

Educational overview for Data warehousingVisual overview: Data warehousing
1 MIN READ
2 study sections · pause after each one and recall the key idea

A data warehouse is a central store of an organisation's historical data, built for analysis rather than day-to-day transactions.

Key points
  • Operational databases handle daily transactions; the warehouse consolidates them for decision support.
  • ETL: Extract data from source systems, Transform it (clean, standardise, integrate), Load it into the warehouse.
  • Warehouses are often denormalised for fast querying of huge histories.
  • Data marts are department-focused slices of a warehouse.
  • Feeds dashboards, trend reports and data mining.
Key terms
  • ETL — extract, transform, load.
  • Denormalisation — trading redundancy for query speed in analytical stores.
EXAM TIP

explain WHY a warehouse is denormalised (fewer joins, faster analytical queries over history).


Previous

Data collection

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Data mining