Mirroring is now available to customers in Public Preview. You can now seamlessly bring your databases into OneLake in Microsoft Fabric, enabling seamless zero-ETL, near real-time insights on your data – and unlocking warehousing, BI, AI, and more.
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”
Within Microsoft Fabric, Delta Tables serve as a common file/table format. These tables find application both in the Data Warehouse and as managed tables within the Lakehouse. Their versatility extends to several features and functionalities, making them indispensable in various use cases. One such feature is the Delta Change Data Feed. While not new to Microsoft Fabric, this … Continue reading “Bridging Fabric Lakehouses: Delta Change Data Feed for Seamless ETL”
In the era of AI, data has become the cornerstone of analytics platforms. With the ever-increasing volume of data being collected across various applications, data lakes, databases, and data warehouses within an enterprise data estate, the need for secure access to enterprise data sources has become critical. This is particularly important given the growth of … Continue reading “Introducing Managed Private Endpoints for Microsoft Fabric in Public Preview”
With the general availability of Microsoft Fabric this past Ignite, there are a lot of questions centered around the functionality of each component but more importantly, what architecture designs and solutions are best for analytics in Fabric. Specifically, how your data estate for analytics data warehousing/reporting will change or differ from existing designs and how to choose the right path moving forward. This article will be focused on helping you understand the differences between the Data Warehouse and Data Lakehouse, Fabric solution designs, warehouse/lakehouse use cases, and to get the best of both Data Warehouse and Data Lakehouse.
