September 18, 2023 by Chris Novak
The Fabric Capacities team is excited to share details about the improvements we’re making to the Fabric capacity management platform for Fabric and Power BI users. In this article we’ll cover: What are Capacities? Fabric is a unified data platform that offers shared experiences, architecture, governance, compliance, and billing. Capacities provide the computing power that …
We are excited to announce a new high concurrency mode in Fabric for Data Engineering and Data Science. This allows users to share Spark compute across multiple notebooks within a workspace which means that you can run multiple Spark notebooks simultaneously on the same Spark session without compromising performance or security when paying for a …
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 “Azure Synapse MVP Corner” blog post in which we highlight selected content recently created by MVPs.
Today I am very excited to announce that Azure service principal has been added as an authentication type for a set of data sources that can be used in Dataset, Dataflow, Dataflow Gen2 and Datamart. Azure service principal is a security identity that is application based and can be assigned permissions to access your data …
Author(s):Amir Jafari, Senior Product Manager in Azure Data.Sheryl Zhao, Principal Applied Scientist in Azure Data.Mark Hamilton, Senior Software Engineer in Azure Data.Nellie Gustafsson, Principal PM Manager in Azure Data. In our previous blog, we showcased the capability of Microsoft Fabric and SynapseML to utilize large language models (LLMs) for efficient question and answer tasks on …
Microsoft Fabric is a cloud-based platform that offers various services and experiences for different analytical scenarios, such as data engineering, data science, real-time analytics, and business intelligence. Microsoft Fabric is built on a foundation of Software as a Service (SaaS), which means that users do not have to worry about the underlying infrastructure or management …
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