This documentation section explains dimensions, dimension points, and contexts in STEP. In addition to describing what they are, this section also explains why they are used, recommended practices for their configuration, and examples on how to create and configure them.
One of the core features of STEP is its ability to store multi-dimensional data. Dimension-dependent data is presented differently based on the dimension in which it is stored, such as language or country. Most often, data is dimension dependent for purposes of translation when content needs to be stored in multiple languages, though sometimes data is made dimension-dependent if it must vary in different countries, markets, or business units.
Dimensions, dimension points, and contexts are maintained in the STEP Workbench under System Setup > Contexts.
This documentation section addresses the following topics:
- Dimensions and Dimension Points (here)
- Maintaining Dimensions and Dimension Points (here)
- Dimension and Dimension Points Recommended Practices (here)
- Adding a Dimension Dependency After Loading Data (here)
- Contexts (here)
- Maintaining Contexts (here)
- Context Recommended Practices (here)
- Context Locales (here)