十月 30, 2024 作者 Patrick LeBlanc 46,970 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 …
As mentioned in Arun’s blog post, we are thrilled to announce that Mirroring in Microsoft Fabric is coming soon. In today’s AI driven world, analytics platforms are only as good as their data. With the ever-increasing amount of data being collected in various applications, databases, and data warehouses in an enterprise, managing and ingesting data …
Continue reading “Introducing Mirroring in Microsoft Fabric”
Microsoft Graph is the gateway to data and intelligence in Microsoft 365. It provides a unified model to access the tremendous amount of data in Microsoft 365 including Teams, Outlook, SharePoint, Viva Insights, and more. Use the wealth of data in Microsoft Graph to build forward looking business insights to unlock insights on customer relationships, …
Continue reading “Fabric + Microsoft 365 Data: Better Together “
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 …
Continue reading “Fabric workloads are now generally available!”
As we embark on our quest to unravel the mysteries of the data within Fabric, a world of possibilities awaits. Let’s continue our journey in understanding and exploring the data. In this installment, our attention is directed to how to explore the functional dependencies -relationships between columns in a table. With a specific focus on …
Continue reading “Fabric Changing the game: Validate dependencies with Semantic Link – Data Quality”
CSV files are widely used for data exchange and data ingestion into data warehouses, but they often pose challenges on performance. In accordance to a study from Microsoft Research, up to 90% of the total time spent in data ingestion occurs in parsing non-binary data such as JSON when using conventional file parsers. This is …
