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”
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”
Share Your Feedback We are committed to continuously improving Real-Time Intelligence and Data Activator. We’d love to hear what you think and how you’re using the product. The best way to get in touch with us is through our community forum or submit an idea. For detailed how-tos, tutorials and other resources, check out the documentation What’s Next? We’ll … Continue reading “Announcing Updates to Data Activator in Public Preview”
At //Build 2024 earlier this year, we released the public preview of Copilot for Data Warehouse – Announcing the Public Preview of Copilot for Data Warehouse in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric. In this previous announcement, you can find a deep dive of the capabilities offered as part of Copilot for … Continue reading “Copilot for Data Warehouse: Public Preview Update”
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?”
