Microsoft Fabric Updates Blog

Bridging Fabric Lakehouses: Delta Change Data Feed for Seamless ETL

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”

Introducing Managed Private Endpoints for Microsoft Fabric in Public Preview

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”

Lakehouse vs Data Warehouse vs Real-Time Analytics/KQL Database: Deep Dive into Use Cases, Differences, and Architecture Designs

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.

Explore Data Transformation in Eventstream for KQL Database Integration

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”

Announcing Delta Lake support in Real-Time Analytics KQL Database (Preview)

As part of the One logical copy effort, we’re excited to announce that you can now enable availability of KQL Database in Delta Lake format. Delta Lake  is the unified data lake table format chosen to achieve seamless data access across all compute engines in Microsoft Fabric. The data streamed into KQL Database is stored … Continue reading “Announcing Delta Lake support in Real-Time Analytics KQL Database (Preview)”