十月 30, 2024 作者 Patrick LeBlanc 48,108 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 …
Metadata-driven pipelines in Azure Data Factory and Synapse Pipelines, and now, Microsoft Fabric, give you the capability to ingest and transform data with less code, reduced maintenance and greater scalability than writing code or pipelines for every data source that needs to be ingested and transformed. The key lies in identifying the data loading and …
Continue reading “Create Metadata Driven Data Pipelines in Microsoft Fabric”
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 …
