Expert insights, tutorials, and best practices for Power BI, Microsoft Fabric, and enterprise data analytics.
Showing 13–24 of 47 articles in Microsoft Fabric
In-depth comparison of Fabric Warehouse and Fabric Lakehouse covering architecture, SQL endpoints, Delta tables, Direct Lake mode, performance, cost optimization, security models, and migration from Synapse dedicated pools.
A technical deep-dive for data engineers and Power BI architects on building real-time dashboards using Fabric Eventstreams, KQL Databases, Direct Lake, and automatic page refresh.
Master Direct Lake mode in Microsoft Fabric — understand how it eliminates Import and DirectQuery trade-offs, leverages OneLake Delta tables, handles framing and fallback behavior, and delivers sub-second query performance at enterprise scale.
Master data governance in Microsoft Fabric with Purview integration, sensitivity labels, DLP policies, and compliance frameworks for regulated industries.
Master Fabric capacity planning with SKU selection, CU optimization, cost management strategies, and performance tuning for enterprise deployments.
Explore powerful Eventstream use cases including IoT monitoring, anomaly detection, real-time dashboards, and streaming analytics with Microsoft Fabric.
Understand the differences between Fabric Lakehouse and Warehouse, when to use each, performance tradeoffs, and best practices for data architecture.
Implement medallion architecture (Bronze, Silver, Gold layers) in Microsoft Fabric with data quality patterns, incremental processing, and governance.
Discover key Microsoft Fabric trends for 2026: OneLake Security GA, Fabric IQ, autonomous data engineering, and the shift to AI-powered intelligence.
Explore Fabric IQ — the AI engine powering natural language data exploration, automated pipelines, and intelligent orchestration in Microsoft Fabric.
OneLake Security reaches GA in 2026 with unified Row-Level, Column-Level, and Object-Level Security across the entire Microsoft Fabric platform.
Reduce Microsoft Fabric costs by 40-60% through capacity right-sizing, CU optimization, pause/resume automation, and OneLake lifecycle policies.
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