Data Management for Dimensions

When dimensions are created to capture data using Whitelist + Observed Values, the volume of data can grow without limit, which result in a very large number of either individual dimension values or combinations of values with other dimensions.

  • Data management issues are most acute for Whitelist + Observed Values dimensions.
  • Because Whitelist + Observed Values is the easiest way for a dimension to immediately gather values without additional configuration, Whitelist + Observed Values is the default method of recording for dimensions. As a result, however, data management issues can occur for any newly created dimension.
  • In addition to data management issues, a high number of dimension values can become a bottleneck in the Data Service and the Portal, which attempt to pass these values upon request.

This section provides background information on configuring high-volume dimensions and managing the stored data over time.