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Microsoft Fabric Updates Blog

  1. Updates
  2. Announcements

Secure Data Streaming with Managed Private Endpoints in Eventstream (Preview)

  • Headshot of article author September 30, 2024 by Alex Lin 257 Views

Introducing Managed VNet Support for Fabric Eventstream! By creating a Fabric’s Managed Private Endpoint, you can now securely connect Eventstream to your Azure services, such as Azure Event Hubs or IoT Hub, within a private network or behind a firewall. This integration ensures your data is securely transmitted over a private network, enabling you to … Continue reading “Secure Data Streaming with Managed Private Endpoints in Eventstream (Preview)”

Announcing the General Availability of Fast Copy in Dataflows Gen2

  • Headshot of article author September 26, 2024 by Ye Xu 8,141 Views

Fast Copy in Dataflow Gen2 is now General Available! This powerful feature enables rapid and efficient ingestion of large data volumes, leveraging the same robust backend as the Copy Activity in Data pipelines. With Fast Copy, you can experience significantly shorter data processing times and improved cost efficiency for your Dataflow Gen2. Additionally, it boosts … Continue reading “Announcing the General Availability of Fast Copy in Dataflows Gen2”

Announcing improved JSON support in Fabric DW

We’ve improved the JSON support in Fabric Datawarehouse (Fabric DW) and have added the following features in Fabric DW: The JSON_PATH_EXIST function checks if there is a value on the given path in JSON text. The JSON_OBJECT and JSON_ARRAY functions enable you to more easily create JSON objects or arrays based on a set of … Continue reading “Announcing improved JSON support in Fabric DW”

Working with large data types in Fabric Warehouse

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