Power BI July 2023 Feature Summary
Welcome to the July 2023 update! We are pleased to announce even more updates to On-Object interaction, as well as datasets for Mobile.
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Microsoft Fabric Updates Blog
Fabric workloads are now generally available!
November 15, 2023 by Ryan Majidimehr 3,573 Views
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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Data Factory Spotlight: Dataflow Gen2
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 …
Datasets are now in Power BI Mobile apps. You can now refresh your datasets also when you’re on the go.
Power BI Mobile apps now support Datasets. So you can view dataset details, refresh status and get notified when something is wrong with the scheduled refresh. And… you can also trigger a new refresh – all from your mobile app!
Data Factory June 2023 Monthly Update
Welcome to the first edition of the Microsoft Fabric Data Factory monthly update! In the first week of each month, visit our blog site to see what our team has been up to. This blog will cover the Data Factory experience in Fabric: Dataflows Gen2 and Data Pipelines. Read on to find all the announcements …
Table Clone in warehouse within Microsoft Fabric
In the rapidly changing landscape of artificial intelligence and data-driven advancements, data warehouses play a pivotal role. They serve as a backbone for efficient data management and serve as catalysts for enabling transformative capabilities. The challenges associated with data management multiples with growth in volume and complexity of data. Safeguarding data integrity, while also providing …
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