We are excited to announce the general availability (GA) of granular access control for all data connection types, a security feature that enables organizations to have more control over who can bind semantic models to organizational data sources on-prem and in the cloud.
» Les merThe foundation of centralized connection management is granular access control. Power BI always enforces granular access control for shareable cloud connections (SCCs). For all other data connection types, it can be enabled at the tenant, workspace, and dataset level.
» Les merWe have some very exciting news to share with you today! We are thrilled to announce that we have just launched the public preview of Direct Lake mode for Power BI datasets in Fabric! Fabric is taking a bold bet on open data formats in OneLake.
» Les merWe are excited to announce the public preview of shareable cloud connections for datasets and paginated reports. Shareable cloud connections are the future for datasets and paginated reports and will soon become the connection type of choice!
» Les merWe’re excited to announce that we’ve reached the final milestone in our dataset scale-out public preview journey! We started the preview without auto-sync and with single read-only replica per dataset. A few months ago, we introduced auto-sync, and now Power BI can create as many read-only replicas as your Power BI capacity supports. Dataset scale-out is no longer limited to a single read-only replica per dataset.
» Les merWe are thrilled to announce that we have made some significant performance improvements to the XMLA-endpoint communication in Power BI. Specifically, we have switched XMLA-based communication from plain text XML to binary XML and enabled compression for the .NET client libraries. Make sure you upgrade to version 19.61.1.4 or later to benefit from this improvement.
» Les merWe are excited to announce that we have finalized Dataset Scale-Out configuration APIs and completed the replica synchronization feature. Specifically, you no longer need to enable Scale-Out at the workspace level by using a burdensome XMLA request. The XMLA command is deprecated and will no longer work. You can now enable Scale-Out on a dataset-by-dataset basis using the Power BI REST API for datasets. You also no longer need to synchronize read-only replicas manually if you want to take advantage of automatic replica synchronization. Automatic replica synchronization is enabled by default. However, it is also possible to disable automatic synchronization to synchronize the read/write and read-only replicas of a dataset manually for controlled refresh isolation.
» Les merWe are excited to announce significant query processing improvements in the Power BI engine around query parallelization in DirectQuery mode, which can help to accelerate query response times, specifically for DAX and MDX expressions that generate multiple storage engine (SE) queries.
» Les merThanks to the latest backup and restore improvements, you can now restore a backup file even when the dataset size is near the Power BI Premium SKU limitation. You no longer need to be concerned that dataset size limits impact restorability. When restoring a dataset with the /forceRestore option, Power BI will try its best to perform the restore operation even when the available memory is limited.
» Les merToday, we are excited to announce the public preview of Power BI Dataset Scale-Out, a dataset feature enabling enterprise customers to support large-scale Power BI solutions without any additional administrative overhead or infrastructure complexity.
» Les mer