Data Quality

In this tutorial, you will learn how to add data quality rules to your employee application.

Data Authoring Tutorial

Data Quality

Data validation, data standardization, and duplicates detection are fundamental when designing a data authoring application to prevent yourself from bad data.

Key tasks within this unit include defining enrichers to standardize and augment your data, designing validations and duplicates detection rules to check your data, plugging the rules in the user interface, deploying your changes and testing your rules in the user application.

  • Audience: Data Architect
  • Duration: 1 hours

 

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