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I have my legacy production data warehouse mapped and scanning. I am building a new datavault warehouse with the same source data, and plan to release to my business users in the future. What is the recommended way to configure Purview to be able to ensure data quality of my NEW data warehouse, is as good as the old?
In business speak - How can Purview confidently show my business users that their new data warehouse data is as good (or better than) the legacy warehouse? This will be a big selling point for Purview.
Sandeep_Shah
Microsoft
MicrosoftTo ensure the data quality of your new datavault warehouse matches or exceeds that of your legacy warehouse, you can leverage Microsoft Purview's data quality features. Here's an overview:
- Set Up Data Quality Rules and Scans: Configure data quality rules and run scans to assess and monitor the quality of your data assets. This includes profiling your data to understand its structure and state.
- Schedule and Continuous Monitoring: Schedule regular scans and profiling to maintain data quality over time. Set up notifications to alert you to any issues.
- Focus on Governance Domains and Data Products: Design Governance Domains and Data Products, and add your data assets to them. This will enable you to run data quality scans effectively and ensure comprehensive data governance.
By following these steps, Microsoft Purview can confidently demonstrate to your business users that the data quality in the new datavault warehouse is as good as, or better than, the legacy warehouse.