We are excited to announce automatic data compaction for Data Warehouses! One of our goals with the Data Warehouse is automate as much as possible to make it easier and cheaper for you to build and use them. This means you will be spending your time on adding and gaining insights from your data instead … Continue reading “Announcing: Automatic Data Compaction for Fabric Warehouse”
We are excited to announce that the Data Warehouse now publishes all Inserts, Updates and Deletes for each table to their Delta Lake Log in OneLake! Our vision is to break down data silos and make it really easy to share data from your Data Warehouses with other teams who use different services without having … Continue reading “Announcing: Fabric Warehouse publishing full DML to Delta Lake Logs”
Microsoft Fabric October 2023 update We have a lot of features this month including updates to the Item type icons, Keyword-Based Filtering of Tenant Settings, On-object Interaction updates, Eventstream Kafka Endpoints and many more. Continue reading for more details on our new and updated features! Core Item type icons Admin Keyword-Based Filtering of Tenant Settings … Continue reading “Microsoft Fabric October 2023 update”
We are excited to announce that SKU guardrails for burstable capacity is now active for Data Warehouse and SQL Endpoint on Microsoft Fabric. Burstable Capacity A Fabric capacity is a distinct pool of resources that’s size (or SKU) determines the amount of computational power available. Warehouse and SQL Endpoint provide burstable capacity that allows workloads … Continue reading “Data Warehouse SKU Guardrails for Burstable Capacity”
Announcement Announcing an end-to-end workshop on how you can build a powerful data analytics solution using Microsoft Fabric, to handle large-scale and complex data sets. This workshop provides you with a working knowledge on how to: The only pre-requisite to complete the workshop is a Microsoft Fabric License or alternatively you can Start the Fabric … Continue reading “Announcing an end-to-end workshop: Analyzing Wildlife Data with Microsoft Fabric”
