Topic
4 articles
A Delta table is a folder of files plus a transaction log. Nine ideas explain why it slows down and how OPTIMIZE, VACUUM, clustering, and deletion vectors keep it fast. Build, wreck, diagnose, and repair a simulated table on this page.
Delta Lake and Apache Iceberg now match on core capabilities, so the choice comes down to three questions: which engine writes the table, which catalog governs it, and who must read it without a copy. A decision guide with the Microsoft Fabric interop paths.
Beginner-friendly guide to choosing hash functions across Microsoft Fabric. Why Spark hash() breaks at scale, how to make SHA-256 match across Spark, Warehouse, and KQL, and a top-5 comparison on F64 SKU.
V-Order, Liquid Clustering, OPTIMIZE, and VACUUM each solve a different problem in Microsoft Fabric. A decision framework for picking the right lever, not a checklist.
