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Microsoft Fabric Updates Blog

Fabric October 2024 Monthly Update

十月 30, 2024 作者 Patrick LeBlanc 45,577 视图

Welcome to the October 2024 Update! Here are a few, select highlights of the many we have for Fabric this month. API for GraphQL support for Service Principal Names (SPNs). Introducing a powerful new feature in Lakehouses: Sorting, Filtering, and Searching capabilities. An addition to KQL Queryset that will revolutionize the way you interact with …

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Announcing Microsoft Fabric Community Conference Europe

Earlier this year, we hosted our first-ever Microsoft Fabric Community Conference in Las Vegas, and the response blew us away! Read about the event here. Over 4,200 attendees engaged with experts from engineering, our customers and our community to learn, engage and get hands-on experience with Fabric. We presented, demoed and discussed data warehousing, data movement, …

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Copy Data from Lakehouse in Another Workspace Using Data pipeline

In this post, we will introduce the practice of copying data between Lakehouse that cross different workspaces via Data pipeline. In this example, we will copy data from a Lakehouse in another workspace to a Lakehouse in the current workspace by leveraging parameters to specify the workspace and Lakehouse. Follow the steps below to achieve …

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Introducing external data sharing: a new way to collaborate across Fabric tenants

These days every company is a data company. More specifically, every company has data that can provide added value to someone else. And even more to the point, data sharing has become a common and essential practice for many organizations. Whether it is sharing data with suppliers, customers, partners, or consultants, data sharing enables better …

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Data Factory Spotlight: Semantic model refresh activity 

Overview  Data Factory empowers you to ingest, prepare and transform data across your data estate with a modern data integration experience. Whether you are a citizen or professional developer, Data Factory is your one-stop-shop to move or transform data. It offers you intelligent transformations and a rich set of activities from hundreds of cloud and …

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

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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