ETL

Extract, Transform and Load (ETL) refers to a process in database usage and especially in data warehousing that involves:

  • Extracting data from outside sources
  • Transforming it to fit operational needs, which can include quality levels
  • Loading it into the end target (database, more specifically, operational data store, data mart or data warehouse)

The typical real-life ETL cycle consists of the following execution steps:

  1. Cycle initiation
  2. Build reference data
  3. Extract (from sources)
  4. Validate
  5. Transform (clean, apply business rules, check for data integrity, create aggregates or disaggregates)
  6. Stage (load into staging tables, if used)
  7. Audit reports (for example, on compliance with business rules. Also, in case of failure, helps to diagnose/repair)
  8. Publish (to target tables)
  9. Archive
  10. Clean up

Currently we offer ETL services on the Microsoft Platform.

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