มิถุนายน 26, 2567 โดย Jason Himmelstein 79,150 จำนวนการดู
Welcome to the June 2024 update. Here are a few, select highlights of the many we have for Fabric. Fabric Spark connector for Fabric Data Warehouse in Spark runtime is now available. Query activity, a one-stop view of your running and completed SQL queries for workspace admins is being announced. You can now run queries …
In the era of digital transformation, advanced analytics and an AI driven world, data has emerged as the new oil, powering businesses, and driving decision-making. But what good is this oil if it’s not refined and ready for use when needed? Moreover, managing, and ingesting data into a central platform for analytics and AI is …
Continue reading “Announcing Mirroring Azure SQL Database in Fabric for Public Preview”
As part of the consumption model for KQL Database and Eventhouse, we are enabling public preview for Kusto Cache consumption. This change is scheduled to start rolling out on April 12. This means that you will start seeing billable consumption of the OneLake Cache Data Stored meter from the KQL Database and Eventhouse artifacts. For …
The OneLake team is thrilled to announce the release of OneLake data access roles for lakehouse in public preview. Data access roles build upon the existing capabilities of OneLake’s security model to increase the granularity at which security can be applied within a Fabric data item. This feature adds an inheritable RBAC (role-based access control) …
Continue reading “OneLake data access roles – Public Preview Announcement”
We are always working on making the experience of building low-code data pipelines as easy as possible for our customers. Next week, we are going to roll-out a new experience in the Script activity in Fabric Data Factory pipelines to make it even easier to build expressions using the pipeline expression language.
We are excited to announce the new landing page for Data Pipelines for Fabric Data Factory, which offers an updated user-friendly experience to help empower every customer to find and build useful data solutions to better ingest data. You can start building and create your first Data Factory pipeline in 5 minutes, use pre-defined templates …
