Technical Blog
Practical articles for engineers working with Microsoft Fabric, Azure, Spark, data platforms, and delivery workflows.
Data DevOps Lab publishes practical, implementation-focused guidance for engineers and architects building modern data and cloud platforms.
Data engineers, Fabric practitioners, Azure teams, Spark users, and DevOps-minded builders looking for clear technical explanations.
11
Articles published
8+
Years of experience
2024
Blog started
VACUUM keeps Delta tables healthy, but it can also break Change Data Feed replay windows. This walkthrough shows exactly when incremental pipelines fail and how to design a safe Fabric pattern with guardrails and fallback recovery.
Read articleMost 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.
Read articleIntroduction When building a modern lakehouse on Microsoft Fabric, one of the most powerful — and often underexplored — features is Mirrored Databases. Instead of...
Read articleData 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.
Read articleReach out to discuss data engineering, Fabric, Azure, Spark, and DevOps-related work.