Deployment pipelines – A customized pipeline is finally here!
You asked, we deliver! The option to create a customized pipeline of 2-10 stages is now available. Check it out!
» Läs merKategoriserade inlägg: Features
Enabling granular access control for all data connection types
The 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.
» Läs merTroubleshooting automatic aggregations to optimize DirectQuery performance
We 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.
» Läs merHeads up: Power BI OneDrive and SharePoint report viewing will be on by default starting in October
Viewing Power BI reports in OneDrive and SharePoint will be turning on by default in October, 2023. Action must be taken by September 29th if you do not want this feature on by default in your tenant.
» Läs merStreamlining cloud connection management for datasets, paginated reports, and other artifacts
We 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!
» Läs merHeads up: Changes to Excel workbook support in Power BI workspaces
We are announcing the deprecation of some features for Excel workbooks in Power BI workspaces. This can impact organizations and users who use these capabilities. This blog outlines the changes, the timelines for deprecation, and how to update your workbooks. It also explains how to determine what workbooks in your organization are impacted.
» Läs merAnnouncing new ways to create connected tables in Excel connected to Power BI
We’re excited to announce new capabilities that make it easier for users to add Power BI data to their Excel workbooks. We’re adding an Insert Table option directly in Excel. We’re also adding an Export with Live Connection option from the OneLake Data Hub.
» Läs merAnnouncing automatic scaling for dataset scale-out public preview
We’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.
» Läs merImproving the communication performance of XMLA-based tools
We 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.
» Läs merAnnouncing the Public Preview of automatic replica synchronization for Dataset Scale-Out
We 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.
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