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Data Processing

What is Extract, Transform, Load (ETL)?

ETL is how companies turn messy information from dozens of systems into clear, actionable datasets. This guide breaks down Extract, Transform, and Load — how they work and why they still matter.

ETL stands for Extract, Transform, Load — a classic pattern for moving data into analytics platforms.

  1. Extract data from sources (databases, APIs, files, events)
  2. Transform it — clean, join, standardize, enrich
  3. Load it into a warehouse, lakehouse, or mart

Modern stacks often use ELT (load first, transform in-platform) or continuous streaming variants, but the same problems remain: reliability, idempotency, testing, and observability.

Choose patterns based on source constraints, transform complexity, and where you want compute to run.

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