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.