A semantic layer is a configurable set of display names for columns in a data set. You can use this to create user-friendly labels for your data. For example, instead of pft_mgn_dol as a column header name, you could use a semantic layer to change it to Profit Margin Dollars, allowing anyone using the data to understand what that attribute represents. A semantic layer does not replace the original naming. 

Using a semantic layer combined with Create a Data Dictionary can be very useful in clarifying the content of your data.

Creating a Semantic Layer

When importing the data set into Summit, a Field Name will be created in the metadata for each attribute (column) in the data set. This field name cannot be edited or changed because it is a copy of the column name from the data source. Once the data set is in Summit, however, you can create a semantic layer by updating or changing the name of the field. Use the following steps:

  1. Select the large title and delete the existing text.
  2. Enter your desired name for that attribute.


Note: You do not need to reindex to save changes to the semantic layer.
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