Welcome to the November 2023 update. We have lots of features this month including Narrative visual with Copilot, cross workspace “save as” for Data Factory, the general availability of Semantic model scale-out, and many more. Continue reading for more details on our new features! Contents Core Microsoft Fabric User API Power BI Reporting Button … Continue reading “Microsoft Fabric November 2023 update”
As mentioned in Arun’s blog post, we are thrilled to announce that Mirroring in Microsoft Fabric is coming soon. In today’s AI driven world, analytics platforms are only as good as their data. With the ever-increasing amount of data being collected in various applications, databases, and data warehouses in an enterprise, managing and ingesting data … Continue reading “Introducing Mirroring in Microsoft Fabric”
CSV files are widely used for data exchange and data ingestion into data warehouses, but they often pose challenges on performance. In accordance to a study from Microsoft Research, up to 90% of the total time spent in data ingestion occurs in parsing non-binary data such as JSON when using conventional file parsers. This is … Continue reading “Announcing improvements to CSV data ingestion in Synapse Data Warehouse in Microsoft Fabric”
In today’s ever-evolving world of data management, security is a paramount concern for organizations. We are committed to providing our customers with robust solutions that empower them to safeguard their data effectively. That’s why we are thrilled to introduce Dynamic Data Masking (DDM) for Fabric Warehouse and SQL Endpoint in Lakehouse! What is Dynamic Data … Continue reading “Announcing: Dynamic Data Masking for Fabric Warehouse and Lakehouse SQL Endpoint”
On July 5th, we announced the ability to clone data warehouse tables within Microsoft Fabric as of current point in time. The ability to clone tables is a powerful technique that not only empowers businesses to streamline reporting and analytics but also helps expedite development and testing processes. While data warehouses constantly evolve, it is often … Continue reading “Time-Travelling through data: The Magic of Table clones”
