What's New: Matching Rules in RealTime Data Products

We're pleased to announce that matching rules are now available in limited release RealTime data products!

Match rules rules deterministically identify records that should or should not be matched together based on matching or non-matching values in specified attributes - giving you precise control over record resolution and data grouping.

For example, you might want records with the same Personal Identifier value to be matched into the same cluster, as shown below.

You can create the following types of rules:

  • Exact Match (Merge): If records have matching non-null values for the selected attributes, they will be clustered together.
  • Mismatch (Split): If records have different non-null values for the selected attributes, they will not be clustered together.
  • Both: Apply both exact match and mismatch rules to ensure that all records in a cluster have the same or null value for the selected attributes.

See Configuring Matching Rules for more details!

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