Leverage the power of task flows to design and build your data solutions and manage workspace items in Microsoft Fabric. We’re thrilled to announce that the task flows feature is now in public preview and is enabled for all existing Microsoft Fabric users. Fabric is unifying everything needed to deliver end-to-end data and analytics solutions … Continue reading “Announcing the public preview of task flows in Microsoft Fabric”
As part of the consumption model for KQL Database and Eventhouse, we are enabling public preview for Kusto Cache consumption. This change is scheduled to start rolling out on April 12. This means that you will start seeing billable consumption of the OneLake Cache Data Stored meter from the KQL Database and Eventhouse artifacts. For … Continue reading “Announcement: Kusto Cache Storage Public”
Users of Azure SQL can now take advantage of an enhanced monitoring solution for their databases and leverage integration with Microsoft Fabric. With the introduction of the new Database Watcher for Azure SQL (preview), users gain access to advanced monitoring capabilities. Through integration with Microsoft Fabric, they can effortlessly stream, store, and analyze monitoring data … Continue reading “Fabric Real-Time Analytics Integrates with Newly Announced Database Watcher for Azure SQL”
As we delve into this comprehensive series on Fabric, one of its pivotal facets we explore is Real-Time Analytics. Within this subject, Real-Time Analytics serves as a formidable tool, diminishing complexity and streamlining data integration processes. Imagine scenarios where a continuous stream of data unfolds, capturing the intricacies of messages posted on a micro-blogging site … Continue reading “Fabric Change the Game: Real – time Analytics”
At Microsoft Ignite this year, we were thrilled to announce the General Availability of Eventstream. One of the exciting features is Eventstream’s real-time processing tailored for seamless integration with the KQL Database. This feature ensures a smooth experience for ingesting and transforming data streams into your KQL table. In this blog post, we’ll dive into … Continue reading “Explore Data Transformation in Eventstream for KQL Database Integration”
