Using Reference Data Standards
Limited ReleaseRealTime data products are in limited release. Some functionality is still in development and is subject to change. If you are interested in using these data products, contact Tamr Support ([email protected]).
Reference data standards enable you to clean, standardize, and normalize source record values. For example, you can use the Common Null Values standardizer to remove known bad values from your source data, or use the Phone Format standardizer to normalize your source phone numbers to a common format.
You can choose to apply reference data standards to your source data to:
- Improve the source input for record matching and suggested duplicates.
- Ensure you have clean, consistent values in your golden records.
Tamr provides a number of pre-defined reference data standards for use across all data products in your tenant.
You can also create user-defined reference data standards for use within a project.
Learn more about:
- Tamr-Managed Reference Data Standards
- Managing User-Defined Reference Data Standards
- Adding Standards to a Data Product
- Viewing pre-standardized and post-standardized source record values. See Adding and Configuring a RealTime Data Product.
- Publishing pre-standardized and post-standardized source record values. See Publishing from the Tamr RealTime Datastore.
Updated about 2 hours ago