Enhance data prep with AI-powered capabilities in Data Wrangler (Preview)
With AI-powered capabilities in Data Wrangler, you can now do even more to accelerate exploratory analysis and data preparation in Fabric.
With AI-powered capabilities in Data Wrangler, you can now do even more to accelerate exploratory analysis and data preparation in Fabric.
The Fabric Spark Native Execution Engine (NEE) is now generally available (GA) as part of Fabric Runtime 1.3. This C++-based vectorized engine (built on Apache Gluten and Velox) runs Spark workloads directly on the lakehouse, requiring no code changes or new libraries. It supports Spark 3.5 APIs and both Parquet and Delta Lake formats, so … Continue reading “Microsoft Fabric Spark: Native Execution Engine now generally available”
We are excited to announce Materialized Lake views (MLV) in Microsoft Fabric. Coming soon in preview, MLV is a new feature that allows you to build declarative data pipelines using SQL, complete with built-in data quality rules and automatic monitoring of data transformations. In essence, an MLV is a persisted, continuously updated view of your … Continue reading “Simplifying Medallion Implementation with Materialized Lake Views in Fabric”
Today kicks off Microsoft Build and we have a lot of new features in store for you. Some highlights are the Fabric Roadmap tool, a way to get glimpse of that is coming soon to Fabric. Chat with your data, powerful AI capabilities that make Power BI even easier. Cosmos DB in Fabric, give you the … Continue reading “Fabric May 2025 Feature Summary”
Overview Microsoft Fabric API for GraphQL makes it easy to query and mutate data from a Fabric- SQL database and other Fabric data sources such as Data Warehouse and Lakehouse, with strongly typed schemas and a rich query language allowing developers to create an intuitive API without writing custom server code. While you can’t customize … Continue reading “Smart Mutations in Microsoft Fabric API for GraphQL with Stored Procedures”