November 15, 2023 by Ryan Majidimehr
Microsoft Fabric is now generally available! Fabric brings together the best of Microsoft Power BI, Azure Synapse Analytics, and Azure Data Factory into a single software as a service (SAAS) platform. Fabric provides multiple workloads purpose-built for specific personas and specific tasks. Keep reading to learn about all of Fabric’s workloads! Synapse Data Warehouse We …
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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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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 …
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