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Extraction, Transformation, and Loading (ETL)

  • Data extraction
    • get data from multiple, heterogeneous, and external sources
  • Data cleaning
    • detect errors in the data and rectify them when possible
  • Data transformation
    • convert data from legacy or host format to warehouse format
  • Load
    • sort, summarize, consolidate, compute views, check integrity, and build indicies and partitions
  • Refresh
    • propagate the updates from the data sources to the warehouse

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