Overview This blog will walk thru the new capabilities in Mirroring Azure SQLDB in Fabric since our public preview announcement earlier in March 2024. Today, we also announced general availability of Mirroring for Snowflake in Microsoft Fabric. To recap, the 3 key benefits of Mirroring are: Over the past few months, we’ve removed limitations to … Continue reading “Mirroring Azure SQLDB – new features and what’s coming up?”
We’re excited to introduce high concurrency mode for notebooks in pipelines, bringing session sharing to one of the most popular orchestration mechanisms for enterprise data ingestion and transformation. Notebooks will now automatically be packed into an active high concurrency session without compromising performance or security, while paying for a single session. Key Benefits: Why Use … Continue reading “Introducing High Concurrency Mode for Notebooks in Pipelines for Fabric Spark”
Fabric Apache Spark Diagnostic Emitter for Logs and Metrics is now in public preview. This new feature allows Apache Spark users to collect Spark logs, job events, and metrics from their Spark applications and send them to various destinations, including Azure Event Hubs, Azure Storage, and Azure Log Analytics. It provides robust support for monitoring … Continue reading “Announcing the Fabric Apache Spark Diagnostic Emitter: Collect Logs and Metrics”
GCS shortcuts and S3 Compatible shortcuts are now generally available. Utilize shortcuts in OneLake to quickly and easily make data accessible in Fabric. No need to set up pipelines or copy jobs, just create a shortcut and your data is immediately available in Fabric. From your Lakehouse, select new shortcut. Choose your shortcuts type (GCS, … Continue reading “Google Cloud Storage shortcuts and S3 Compatible shortcuts generally available”
We’re thrilled to introduce a new feature in Fabric: Lakehouse schemas. This feature lets users arrange their lakehouse tables into a folder-like structure, enhancing data discovery and more. Many users will be familiar with schemas in Fabric using Data Warehouse, and we are bringing aligned capabilities into Lakehouse. Schemas created in your lakehouses will also … Continue reading “Organizing your tables with lakehouse schemas and more (Public Preview)”
