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Everything about Extract, transform, load

Procedure in computing

Extract, transform, load (ETL) is a three-phase computing process where data are extracted from an input source, transformed, and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations. ETL processing is typically executed using software applications but it can also be done manually by system operators. ETL software typically automates the entire process and can be run manually or on recurring schedules either as single jobs or aggregated into a batch of jobs. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Extract, transform, loadA 5-minute orientation
  2. Skim a recent paper: Extension of correlation coefficient based TOPSIS technique for interval-valued Pythagorean fuzzy soft set: A case study in extract, transform, and load techniquesInfluential work since 2022
  3. Pick up a classic book: The data warehouse lifecycle toolkitThe most-reprinted book on the subject
  4. Read the landmark paper: A Survey of Extract–Transform–Load TechnologyCited 229 times
  5. Go sideways: Data warehouseA closely related topic
  6. Go sideways: SQL Server Integration ServicesA closely related topic

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🏆 Landmark papers (most cited)

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