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Microsoft Fabric Updates Blog

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Playbook for metadata driven Lakehouse implementation in Microsoft Fabric

  • Headshot of article author April 2, 2025 by RK Iyer 150,421 Views

Co-Author – Gyani Sinha, Abhishek Narain Overview A well-architected lakehouse enables organizations to efficiently manage and process data for analytics, machine learning, and reporting. To achieve governance, scalability, operational excellence, and optimal performance, adopting a structured, metadata-driven approach is crucial for lakehouse implementation. Building on our previous blog, Demystifying Data Ingestion in Fabric, this post … Continue reading “Playbook for metadata driven Lakehouse implementation in Microsoft Fabric”

Supercharge your workloads: write-optimized default Spark configurations in Microsoft Fabric

Introducing predefined Spark resource profiles in Microsoft Fabric—making it easier than ever for data engineers to optimize their compute configurations based on workload needs. Whether you’re handling read-heavy, write-heavy, or mixed workloads, Fabric now provides a property bag-based approach that streamlines Spark tuning with just a simple setting. With these new configurations, users can effortlessly … Continue reading “Supercharge your workloads: write-optimized default Spark configurations in Microsoft Fabric”

Copilot and AI Capabilities will be accessible to all paid SKUs in Microsoft Fabric 

Additional authors: Nellie Gustafsson, Joanne Wong We are excited to announce that we will be removing the F64 SKU requirement to use Copilot and AI capabilities in Microsoft Fabric. This means that on April 30th, customers using paid SKUs F2 and above will have access to AI capabilities like Copilot, Fabric data agents, AI Functions … Continue reading “Copilot and AI Capabilities will be accessible to all paid SKUs in Microsoft Fabric “

Introducing Autoscale Billing for Spark in Microsoft Fabric

We are introducing Autoscale Billing for Spark in Microsoft Fabric, a new billing model designed to offer greater flexibility and cost efficiency for Spark workloads. With this model, when enabled, your Spark workloads will no longer directly consume the Fabric capacity this billing option is enabled on; instead, they will run alongside your existing capacity (F2 … Continue reading “Introducing Autoscale Billing for Spark in Microsoft Fabric”

Unlock the power of your Iceberg data in OneLake

Microsoft OneLake is the single, unified, logical data lake that allows your entire organization to store, manage, and analyze data in one place. It provides seamless integration with various data sources and engines, making it easier to derive insights and drive innovation. At the most recent Microsoft Build conference, we announced the integration effort between … Continue reading “Unlock the power of your Iceberg data in OneLake”