📐 Semantic Layer Inside Databricks: A Look at Unity Catalog Metric Views (With an Example)
🤔 The enterprise-wide enigma Ask three people on your data team what “total revenue” means and you’ll get three queries. One filters out returns. One rounds before summing. One groups by order date, another by ship date. All three are technically correct, and none of them match. This isn’t a data quality problem. The data is fine. The problem is that every dashboard, notebook, and BI tool re-implements the aggregation logic from scratch, and nothing stops those implementations from drifting apart from each other. ...