Microsoft Fabric Updates Blog

Microsoft Fabric logo
Microsoft Fabric logo

Mapping ​​Azure Synapse dedicated SQL pools to Fabric data warehouse compute

Writers: John Hoang and Brad SchachtTechnical Reviewers: Steve Howard and Priya Sathy Introduction The following is an article in a series that focuses on the migration from Azure Synapse Analytics to Microsoft Fabric. The first article, ​​Azure Synapse dedicated SQL pools to Fabric migration, discussed options to migrate DDL, T-SQL, and data from Synapse Dedicated …

Announcing Azure Private Link Support for Microsoft Fabric in Public Preview

Organizations today rely on cloud platforms for storage and analysis of data at scale and need to keep up with the accelerating volume of data while protecting sensitive information.  While enterprises in Banking, Healthcare, and similar domains require strict data security standards by default, securing business-critical data is the highest priority for all enterprises. At …

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 …

Eventhouse Overview: Handling Real-Time Data with Microsoft Fabric

Today, Fabric introduces the Eventhouse (preview), a dynamic workspace hosting multiple KQL databases as part of Fabric Real-Time Analytics Overview of Real-Time Analytics – Microsoft Fabric | Microsoft Learn Handling Real-Time Data with Microsoft Fabric Eventhouses assume a pivotal role in the Microsoft Fabric ecosystem by offering a robust solution for managing and analyzing substantial …

Reduce egress costs with S3 shortcuts in OneLake

Fabric allows workloads to easily access data across clouds through OneLake shortcuts. Define a shortcut once and use it with Power BI reports, SQL, Spark and Kusto. This ease of consumption allows users to start analyzing their data in minutes rather than hours or even days, but this can also lead to increased egress charges. …