Microsoft Fabric Updates Blog

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Updates to database development tools for SQL database in Fabric

With SQL database in Fabric, the source control integration in Fabric enables you to keep your active work synced to git while following a branching strategy that best matches your team’s environments and deployment requirements. With the complexity of enterprise deployment scenarios, code-first deployment is also available for Fabric objects through tools like the Fabric-CICD …

Mirroring in Microsoft Fabric explained: benefits, use cases, and pricing demystified

Co-Author: Maraki Ketema, Principal Product Manager Unlocking Data Value at Scale: Mirroring in Microsoft Fabric  In the modern data era, speed, scale, and simplicity are no longer luxuries—they’re expectations. Organizations want to harness the power of their operational data in real time, without the overhead of complex ETL pipelines or latency-filled data movement. This is …

Eventhouse Accelerated OneLake Table Shortcuts (Generally Available)

Turbo charge queries over Delta Lake and Iceberg tables in OneLake Eventhouse accelerated OneLake Table shortcuts aka. Query Acceleration is now Generally Available! OneLake shortcuts are references from an Eventhouse that point to internal Fabric or external sources. Previously, queries run over OneLake shortcuts were less performant than on data that is ingested directly to …

Intelligent Data Cleanup: Smart Purging for Smarter Data Warehouses

In the era of Artificial Intelligence, organizations generate and accumulate large volumes of information every second. From transactional records to user logs and analytics data warehouses serve as a single source of truth that stores this information for a plethora of purposes. However, as data accumulates over time, not all remain relevant and valuable, leading …

Eventhouse No-Code table creation and editing

Creating and managing tables in Eventhouse just got even more flexible. While you can create tables using the Get Data wizard – which builds the structure based on a sample file or streaming data – there are times when you need to start from scratch. This could be during basic training, testing, or experimenting with …