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Microsoft Fabric News & Deep Dives – Data Engineering, Pipelines & Analytics Posts

Your daily companion for understanding Microsoft Fabric.
Whether you're a data engineer, analyst, or developer, this category breaks down complex Fabric features into clear, easy-to-follow explanations.
Get updates on Lakehouse architecture, pipelines, Real-Time Analytics, governance, and everything the modern data stack has to offer.
We keep you informed and inspired as Fabric continues to grow.
Nov. 25, 2025

The Fragility of Live Data: Why Your Analytics Are Unreliable

In today's fast-paced business environment, access to real-time data is often seen as a competitive advantage. However, the promise of 'live data' can be misleading. While the idea of always having up-to-the-minute information is appealing, the real…

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Nov. 21, 2025

The Hidden Engine Inside Microsoft Fabric: How OneLake and Direct Lake Transform Power BI

You probably know the feeling—your Power BI reports take forever to refresh, and you wonder if a band of goblins is running your data behind the scenes. Microsoft Fabric changes that game. The hidden engine in Fabric gives your data platform a…

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Nov. 21, 2025

Stop Blaming Users: Choosing the Right Dataverse → Fabric Integration Pattern (Synapse Link, Dataflow Gen2, Link to Fabric)

Dataverse to Fabric problems occur when pipeline design is flawed. This does not imply that you made a mistake. Choosing the Right Dataverse requires an understanding of refresh times, storage ownership, and the necessity for rollback capabilities…

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Nov. 21, 2025

Unlocking Microsoft Fabric AI Skills: Democratizing Analytics with OneLake, Copilot, and Natural Language Queries

Imagine you need a sales report, but you wait days for IT to pull data from different systems. You feel frustrated when answers take too long. You want to ask questions and get insights yourself, without learning complex tools. Microsoft Fabric AI S…

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Nov. 20, 2025

Architecting End-to-End Data Transformation and Machine Learning with Microsoft Fabric Notebooks and the Lakehouse

Traditional ETL workflows can be slow. They have many manual steps. They also need a lot of upkeep. Here are some common problems: Limitation Description Manual effort You spend more time writing scripts and updating da…

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Nov. 16, 2025

How to Design Reusable Power BI/Fabric Dataflows Instead of One-Off Pipelines

Designing reusable Power BI dataflows means making small, safe pipelines. These pipelines keep working as your business grows and data changes. You do not use weak solutions like hardcoded paths or messy M code. You cut down on copies and make fixin…

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Nov. 15, 2025

Why CSV Files Still Dominate Many Data Pipelines

Imagine your team wants to build a new data warehouse. Soon, you see lots of CSV Files in shared folders. This happens because CSV Files are simple to make. They work with almost any computer system. You can move data fast with them. Many companies …

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