Microsoft Fabric Updates Blog

Fabric Eventhouse now supports Eventstream Derived Streams in Direct Ingestion mode (Preview)

The Eventstreams artifact in the Microsoft Fabric Real-Time Intelligence experience lets you bring real-time events into Fabric, transform them, and then route them to various destinations such as Eventhouse, without writing any code (no-code). You can ingest data from an Eventstream to Eventhouse seamlessly either from Eventstream artifact or Eventhouse Get Data Wizard. This capability … Continue reading “Fabric Eventhouse now supports Eventstream Derived Streams in Direct Ingestion mode (Preview)”

Introducing new item creation experience in Fabric

Have you ever found yourself frustrated by inconsistent item creation? Maybe you’ve struggled to select the right workspace or folder when creating a new item or ended up with a cluttered workspace due to accidental item creation. We hear you—and we’re excited to introduce the new item creation experience in Fabric! This update is designed … Continue reading “Introducing new item creation experience in Fabric”

Result Set Caching for Microsoft Fabric Data Warehouse (Preview)

Result Set Caching is now available in preview for Microsoft Fabric Data Warehouse and Lakehouse SQL analytics endpoint. This performance optimization works transparently to cache the results of eligible T-SQL queries. When the same query is issued again, it directly retrieves the stored result, instead of recompiling and recomputing the original query. This operation drastically … Continue reading “Result Set Caching for Microsoft Fabric Data Warehouse (Preview)”

Introducing upgrades to AI functions for better performance—and lower costs

Earlier this year, we released AI functions in public preview, allowing Fabric customers to apply LLM-powered transformations to OneLake data simply and seamlessly, in a single line of code. Since then, we’ve continued iterating on AI functions in response to your feedback. Let’s explore the latest updates, which make AI functions more powerful, more cost-effective, … Continue reading “Introducing upgrades to AI functions for better performance—and lower costs”