The BULK INSERT statement is generally available in Fabric Data Warehouse. The BULK INSERT statement enables you to ingest parquet or csv data into a table from the specified file stored in Azure Data Lake or Azure Blob storage: The BULK INSERT statement is very similar to the COPY INTO statement and enables you to … Continue reading “BULK INSERT statement is generally available!”
We’re excited to unveil the Microsoft Fabric SKU estimator, now available in preview—an enhanced version of the previously introduced Microsoft Fabric Capacity Calculator. This advanced tool has been refined based on extensive user feedback to provide tailored capacity estimations for businesses. Designed to optimize data infrastructure planning, the Microsoft Fabric SKU Estimator helps customers and … Continue reading “Empowering businesses with smart capacity planning: Introducing the Microsoft Fabric SKU estimator (Preview)”
We had such an exciting week for Fabric during the Fabric Conference US, filled with several product announcements and sneak previews of upcoming new features. Thanks to all of you who participated in the conference, either in person or by being part of the many virtual conversations through blogs, Community forums, social media and other … Continue reading “Recap of Data Factory Announcements at Fabric Conference US 2025”
The OPENROWSET function is generally available in Fabric Data Warehouse and Fabric SQL endpoints for Lakehouse and Mirrored databases. The OPENROWSET function enables you to easily read Parquet and CSV files stored in Azure Data Lake Storage and Azure Blob Storage: With the OPENROWSET function, you can easily browse files before loading them into the … Continue reading “OPENROWSET function in Fabric Data Warehouse (Generally Available)”
In the fast-evolving data integration landscape, Data Factory continues to enhance the existing connectors to provide high-throughput data ingestion experience with no-code, low-code experience. With a focus on improving connector efficiency and expanding capabilities, recent updates bring significant advancements to a number of connectors. These improvements focus on: Latest innovations 1. Lakehouse connector now supports … Continue reading “Best-in-class connectivity and data movement with Data Factory in Fabric”
