Schema lakehouses are now Generally Available. By using schemas in lakehouses, users can arrange their tables more efficiently and make it easier to find data. When creating new lakehouses, schema-enabled lakehouses will now be the default choice. However, users still have the option to create lakehouses without a schema if they prefer. What do schema … Continue reading “Lakehouse Schemas (Generally Available)”
Recently, we announced a significant milestone: public support for Row and Column Level Security within OneLake. This universal security framework applies consistently across all data engines, regardless of how data is accessed. Traditionally, Spark does not provide granular security features and assumes unrestricted access to the required datasets for query execution. To address this limitation, … Continue reading “How Spark Supports OneLake Security with Row and Column Level Policies”
We’re thrilled to introduce a new feature in Fabric: Lakehouse schemas. This feature lets users arrange their lakehouse tables into a folder-like structure, enhancing data discovery and more. Many users will be familiar with schemas in Fabric using Data Warehouse, and we are bringing aligned capabilities into Lakehouse. Schemas created in your lakehouses will also … Continue reading “Organizing your tables with lakehouse schemas and more (Public Preview)”
Microsoft Fabric now has even more capabilities for organizations to embrace data democratization. An Admin or Member within a workspace can share a lakehouse with another recipient. To drive collaboration, an Admin or Member could add a user or group from the tenant’s AAD to a workspace with a selected role before sharing feature was … Continue reading “Lakehouse Sharing and Access Permission Management”
