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Typical process flow in warehouse

Short answer

Data is extracted from sources into a staging area, then cleaned, transformed, and loaded into the warehouse. Summary tables are built, data is archived, and a query manager handles user requests, directing them to detailed or summary data. The cycle repeats periodically to refresh the warehouse.

Briefly describe the typical process flow within the data warehouse system.

The typical process flow in a data warehouse system has the following stages:

 Sources -> Extract -> Clean/Transform -> Load -> Warehouse
   -> Summarise/Archive -> Query -> Present
  1. Extract and load: the load manager extracts data from operational sources and external files into a temporary staging area, and does simple transformations to match the warehouse structure.
  2. Clean and transform (warehouse manager): check consistency and integrity, remove duplicates, fix missing values, standardise formats and codes, merge data from different sources.
  3. Load into the warehouse: move the processed data to the detailed-data tables; create indexes and views.
  4. Aggregate: build summary tables (daily, monthly, by region) to speed up common queries.
  5. Archive and back-up: old data is moved to offline storage; regular backups are taken for recovery.
  6. Query management: the query manager takes user requests from front-end tools, directs them to detailed or summary data, schedules and returns the result.
  7. Metadata update: all steps update metadata (lineage, load times, schema).
  8. Analysis: users run reports, OLAP, and data mining on the warehouse.
  9. Refresh: the cycle repeats periodically (daily or weekly) to keep the warehouse current.

✓ Answer checked by Claude Opus 5.5 (high effort)

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