Scaling Data Governance- Does a Purview in a Day Framework Exist?
Hello Purview Community, I’ve been exploring the available acceleration resources for Microsoft Purview, and one thing I noticed is a potential gap in the "In a Day" workshop series. While we have excellent programs like Power BI in a Day or Fabric in a Day, I haven't yet seen a formalized Purview in a Day framework designed to help organizations jumpstart their governance journey in a single, cohesive session. I am reaching out because my team is currently preparing something in this area that we believe will be very useful to the community and Microsoft in the future. Rather than working in isolation, we want to ensure we are aligned with the official roadmap. I wanted to reach out to the community and the Microsoft product team to ask: Is there an official "In a Day" initiative for Purview currently in the works? If not, who would be the best point of contact to discuss alignment? Looking forward to hearing your thoughts and seeing if we can build something impactful together!
Lineage Limitation on Wide Power BI Semantic Models & Built-in Classification Rule Sets
Hello everyone, I’m evaluating the new Microsoft Purview Governance Portal for our finance data governance needs. Previously with the Azure Purview classic version we had a couple of blocking issues such as it failed to scan wide semantic models. But now we're migrating to Fabric and we'd like to try the new Microsoft Purview Governance Portal. I’d appreciate any insights or confirmation from the product team or the community. Lineage Limitation on Wide Power BI Semantic Models Background: When we first ran the Purview Data Map Scanner against our finance semantic model, it failed once the total column count across all tables exceeded roughly 500 columns. In our case, a single SAP table alone has about 450 columns—so the scan wouldn’t complete, and we couldn’t capture any lineage. Questions: Has Purview removed or raised any “hidden” column-count limits for Power BI semantic models? Is there any official documentation on maximum supported column counts (e.g. 200, 500, or otherwise)? Are there recommended workarounds for very wide models—such as splitting into sub-datasets, using incremental scans, etc. to get full lineage? 2. Built-in Classification Rule Sets Background: Purview ships with a set of Microsoft-provided “Sensitive Information Types” that appear in every scan rule set. In many of our scans these defaults aren’t needed, and they clutter the results. Questions: Can we delete or permanently disable the built-in classification rules? If not, what’s the best way to ensure they’re not applied during a full scan? Are there any APIs or PowerShell commands that let us automate the exclusion of Microsoft’s defaults from our scan rule sets? Thank you in advance for any pointers, documentation links, or best-practice advice!