Microsoft Fabric + Microsoft Purview Unified Catalog - Bulk data quality rules with AI-generated SQL Expressions

Summary

Microsoft Fabric and Purview Unified Catalog automate data quality rules with AI-generated SQL expressions at scale.

Bulk data quality rules with AI in Fabric

A Reddit user demonstrates how Microsoft Fabric and the Purview Unified Catalog are combined for creating data quality rules at scale. Using AI-generated SQL expressions, checks are automated that would take hours manually. A YouTube demo shows the process from configuration to execution.

Importance for data governance teams

For organizations struggling with data quality at scale, this combination offers a concrete solution. Manually creating quality rules for hundreds of tables and columns is unsustainable. AI-generated SQL expressions lower the barrier and make it possible to quickly achieve broad coverage without deep SQL knowledge.

Implementation steps

Verify that your organization has access to both Fabric and the Purview Unified Catalog. Start with a pilot on a limited number of critical datasets. Manually validate the AI-generated rules before rolling them out broadly and build a review process for new rules.