Topic
6 articles
Copilot and Fabric Data Agents answer from your semantic model's metadata, so preparing the model is the real AI work. A persona-mapped, flowchart-driven guide with brownfield and greenfield checklists.
A Power BI semantic model in Microsoft Fabric can be tuned for self-service exploration, certified analytics, or AI agents, but not all three at once. Six dimensions pull the model in different directions, and the one-source-three-models pattern resolves the conflict.
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.
Five levers control all Delta table performance in Microsoft Fabric: resource profiles, V-Order, OPTIMIZE and Liquid Clustering, default behaviors, and VACUUM. A decision framework for data engineers and Fabric architects working with Lakehouses at scale.
A structured rubric for assessing Microsoft Fabric operational maturity. Six domains, five levels, and an interactive dashboard to score your deployment and surface prioritized gaps.
Complete coverage of 30+ announcements from the combined FabCon + SQLCon event: Fabric IQ, OneLake Security, Runtime 2.0, Database Hub, and more.