Grade 12 · Theory
Data warehousing
Database Management · about 3 min
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.
- 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).