Data Mapping#
Data Mapping maps source fields to target fields in a datastream to apply standard naming conventions. This enables you to easily compare similar data from different data sources.
Why Data Mapping matters#
Data Mapping provides essential benefits for your data workflow:
Creates consistent field naming across all data sources
Enables accurate comparison of similar data from different origins
Ensures data compatibility with Adverity Data Storage and destinations
Automates field mapping through Default Data Mapping
Core concepts#
- What is a source field?
A source field is a field that you have collected from your data source. You can map source fields to target fields in order to harmonize data from different data sources.
- What is a target field?
A target field is a field in Adverity that you can use to harmonize data from different data sources. Target fields can be loaded into Adverity Data Storage and external destinations.
- What is Default Data Mapping?
Default Data Mapping automatically maps source fields to target fields. Adverity provides Default Data Mapping for the most commonly used source fields for a number of connectors.