Tried using Lookup activity to read a file from Lakehouse in Microsoft Fabric?
Why Fabric Lookup Activity Cannot Read Lakehouse Files (And How to Fix It)
Views vs Shortcuts in Microsoft Fabric: Same Data, Different Stories
In Microsoft Fabric architecture, should I use a View or a Shortcut?
Optimizing Microsoft Fabric: Performance Solutions
If you’re working with Microsoft Fabric, this might save you some time.
Microsoft Fabric: Complete Guide + Common Errors and How to Fix Them (Real Production Issues)
Microsoft Fabric is a powerful platform that brings together data engineering, pipelines, lakehouse, and Power BI into a single ecosystem. However, once you move from demos to real production workloads, things start to break.
Lakehouse vs. Data Warehouse in Microsoft Fabric: Do You Really Need Both?
While working with Microsoft Fabric, a question came to mind: why use a Data Warehouse if the Lakehouse already provides a SQL endpoint? At first glance, it may seem redundant. However, when you look closer, the two serve very different purposes, and understanding these differences is key to knowing when to use each.
Microsoft Fabric vs. Databricks: When to Use Each?
When it comes to building a modern data platform in Azure, two technologies often spark debate: Microsoft Fabric and Databricks. Both are powerful. Both can process, transform, and analyze data. But they serve different purposes, and the smartest organizations know when to use each.
Microsoft Fabric Best Practices & Roadmap
Microsoft Fabric brings together data engineering, data science, real-time analytics, and business intelligence into one unified platform. With so many capabilities available, organizations often ask: How do we get the most out of Fabric today while preparing for what’s coming next? This post shares practical performance tuning tips, cost optimization strategies, and a look at the Fabric roadmap based on the latest Microsoft updates.
Governance & Security in Microsoft Fabric
As organizations adopt Microsoft Fabric to unify their data and analytics, ensuring governance and security becomes critical. Data is a strategic asset, and protecting it requires a mix of access controls, sensitivity labeling, and monitoring tools. Fabric brings these capabilities together so enterprises can innovate without sacrificing compliance.
Real-Time Analytics in Microsoft Fabric
In today’s data-driven world, many business scenarios demand insights not in hours or days, but in seconds. From monitoring IoT devices to tracking live transactions, real-time analytics enables organizations to act immediately. Microsoft Fabric delivers this capability through KQL databases and event streams, making it easier to ingest, query, and analyze fast-moving data at scale.
Analyzing Data with Power BI in Microsoft Fabric
Data becomes valuable when it’s turned into insights that drive action. In Microsoft Fabric, this is where Power BI shines. By connecting directly to Lakehouses and Warehouses in Fabric, you can build interactive dashboards and reports, then publish and share them securely across your organization.
Transforming Data with Dataflows Gen2 in Microsoft Fabric
In Microsoft Fabric, raw data from multiple sources flows into the OneLake environment. But raw data isn’t always ready for analytics. It needs to be cleaned, reshaped, and enriched before it powers business intelligence, AI, or advanced analytics. That’s where Dataflows Gen2 come in. They let you prepare and transform data at scale inside Fabric, without needing heavy coding, while still integrating tightly with other Fabric workloads.
Ingesting Data with Data Factory in Microsoft Fabric
In Microsoft Fabric, Data Factory is the powerhouse behind that process. It’s the next generation of Azure Data Factory, built right into the Fabric platform; making it easier than ever to: - Connect to hundreds of data sources - Transform and clean data on the fly - Schedule and automate ingestion (without writing code)
Ization 