Microsoft Fabric Updates Blog

Fabric Data Factory: What’s New and Latest Roadmap

Fabric Data Factory enables every organization to tackle the complexities of ingesting data, applying data transformations, and orchestrating these different data-related activities, needed to support every organization’s data integration needs, and delivering modern data management architectures. Thank you to all customers and partners who shared their Ideas, and suggestions, as we work together on shaping … Continue reading “Fabric Data Factory: What’s New and Latest Roadmap”

Working with large data types in Fabric Data Warehouse

Traditionally, warehouses are designed for smaller data types (numbers, dates, smaller strings) that are suitable for efficient analytics. Fabric Data Warehouse was initially designed with a string length limit that allowed you to store string or binary data up to 8KB per cell. Increasing this limit has been one of the top requests for Fabric … Continue reading “Working with large data types in Fabric Data Warehouse”

Mirroring Azure SQLDB – new features and what’s coming up?

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?”

Fabric Change the Game: Embracing Azure Cosmos DB for NoSQL

In this new post of our ongoing series, we’ll explore setting up Azure Cosmos DB for NoSQL, leveraging the Vector Search capabilities of AI Search Services through Microsoft Fabric’s Lakehouse features. Additionally, we’ll explore the integration of Cosmos DB Mirror, highlighting the seamless integration with Microsoft Fabric. It’s important to note that this approach harnesses … Continue reading “Fabric Change the Game: Embracing Azure Cosmos DB for NoSQL”