Ten mistakes that make Azure data platforms slow, insecure or unreliable, from tiny files and leaked keys to failure paths that report success, with the fix for each.
A design guide for Azure Data Factory pipelines that survive production: orchestrator and worker pipelines, parameters, idempotent windows, timeouts and retries, concurrency, secrets, monitoring and CI/CD.