October 30, 2024 by Patrick LeBlanc 46,953 Views
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 …
As we delve into this comprehensive series on Fabric, one of its pivotal facets we explore is Real-Time Analytics. Within this subject, Real-Time Analytics serves as a formidable tool, diminishing complexity and streamlining data integration processes. Imagine scenarios where a continuous stream of data unfolds, capturing the intricacies of messages posted on a micro-blogging site …
Continue reading “Fabric Change the Game: Real – time Analytics”
SAP systems hold some of the most valuable data of many enterprises, large or small. Whether it is operational data in ERP systems like SAP ECC or SAP S/4HANA, data from SAP’s data warehouse suite of products like SAP BW or SAP Datasphere, or data from SAP’s SaaS solutions – a comprehensive view on the …
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Microsoft Most Valuable Professionals, or MVPs, are technology experts who passionately share their knowledge with the community. The Microsoft Fabric team presents you with the “Microsoft Fabric MVP Corner” blog post in which we highlight selected content recently created by MVPs.
Semantic Link adds support for the recently released OneLake integrated semantic models! You can now directly access data using your semantic model’s name via OneLake using the read_table function and the new mode parameter set to onelake. This approach ensures that no load is placed on Analysis Services, enabling efficient data retrieval and avoids putting …
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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 …
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