Data Profiling


Data profiling is the process of examining the data available from an existing information source (e.g. a database or a file) and collecting statistics or informative summaries about that data.The purpose of these statistics may be to:

  1. Find out whether existing data can be easily used for other purposes
  2. Improve the ability to search data by tagging it with keywords, descriptions, or assigning it to a category
  3. Assess data quality, including whether the data conforms to particular standards or patterns
  4. Assess the risk involved in integration data in new applications, including the challenges of joins.
  5. Assess whether known metadata accurately describes the actual values in the source database
  6. Understanding data challenges early in any data intensive project, so that late project surprises are avoided. Finding data problems late in the project can lead to delays and cost overruns.