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Sunday, 5 March 2017


Data Extract Processing in Data warehousing


By on March 05, 2017



A logical progression towards a data warehouse – Data Extracts End user computing offloaded from the operational environment User’s own data



Issues with Data Extract Programs

  • No common time basis
  • Different calculation algorithms
  • Different levels of extraction Different levels of granularity
  • Different data field names
  • Different data field meanings
  • Missing information
  • No data correction rules
  • No Metadata
  • No drill-down capability

Data Extract Processing in Data warehousing
 Data Extract Processing in Data warehousing


Kashif
mkashu: Data Extract Processing in Data warehousing
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Update: March 05, 2017 | Rating: 4.5

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