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Microsoft Fabric Updates Blog

Microsoft’s vision of an open data lake ecosystem: Open lakes, not walled gardens

April 25, 2024 by Josh Caplan 1,360 Views

In today’s data-driven world, enterprise data estates contain many data sources for a variety of reasons, including differences in type of usage (operational vs. analytic), differences in ownership, and the presence of legacy infrastructure that is part of a corporate merger or acquisition. In addition, enterprises constantly acquire and refresh data from external sources. For …

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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 …

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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 …

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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. …

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Dataflows Gen2 data destinations and managed settings

We are very excited to announce a lot of new improvements to data destinations in Dataflows Gen2. Here is an overview of the new improvements and how to get started. After you have cleaned and prepared your data with dataflows gen 2, you want to land your data into a destination. This is possible with …

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Fabric Data Pipelines – Advanced Scheduling Techniques (Part 1)

Sean Mirabile | Sr. Program Manager | Microsoft Fabric CAT Special thanks to all of the technical reviewers: Kevin Lee, Bret Myers, Sundar Easwaran, and Mallikarjun Appani Content Introduction Blog 1: ADLS Gen2 Event Triggers (on create) Data Pipeline Settings The Get Metadata Activity YouTube Video Complete Data Pipeline JSON Introduction Welcome to the blog …

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