In Microsoft Fabric, the role that lets a developer build also bypasses OneLake security. Here are 3 patterns to isolate developer data access by domain — and which one actually holds.
Deterministic hash surrogate keys or IDENTITY columns for your dimensions? A practitioner's pros and cons across load order, idempotency, join cost, and reprocessing.
Most lakehouse pipelines are still doing one expensive thing repeatedly: reprocessing entire tables, even when only a tiny fraction of rows has changed. This post explains the CDF-driven load pattern, why it works, where it can hurt, and how to implement it safely in Microsoft Fabric.
Data quality isn't just a checkbox — it's the backbone of reliable analytics. Learn how to set up automated quality checks and profiling with Microsoft Purview and Fabric Lakehouse.
How to keep your Spark jobs portable, safe for concurrency, and easier to orchestrate by using explicit ABFSS paths instead of attaching a default Lakehouse in Microsoft Fabric.