The degree to which data is complete, consistent, accurate, fresh and unique; in Microsoft Purview it is measured with rules and scores that roll up from columns to assets, data products and domains.
Why DAX Can't Fix a Broken Data Model · Mirko Peters Welcome back to the podcast companion blog! In today's episode, we are tackling a trap that countless data professionals fall into: trying to use Data Analysis Expr…
Why Fabric Lineage Is Not Enough for Data Governance · Mirko Peters Welcome back to the podcast companion blog! As data leaders and IT professionals, we often find ourselves searching for the silver bullet that will solve all our da…
Why AI Won't Fix Your Broken Business Processes · Mirko Peters Welcome back to the blog! As a podcaster, I spend a lot of time talking with industry experts, architects, and business leaders about the latest technological shift…
Top Reasons Why Power Apps Fail and How to Fix Them · Mirko Peters Welcome back to the podcast companion blog! When you dive into the world of low-code development, building your first application is an exciting milestone. However,…
Overcoming ESG Data Challenges with Microsoft Cloud · Mirko Peters Welcome back to the podcast companion blog! In today's post, we are diving deep into a topic that is reshaping how modern organizations operate: environmental, soci…
Taming Schema Drift and Format Chaos in Your Azure Data Lake · Mirko Peters Welcome back to the podcast companion blog! If you have ever stared at a broken executive dashboard on a Monday morning only to find out that a rogue upstream syste…
Copilot Data Quality Issues and Risks: A Deep Dive · Mirko Peters The importance of Microsoft Copilot is growing fast, especially for organizations trying to work smarter with AI-powered automation and decision support. But here's…
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