The purpose of this article is to provide Power BI developers with a deeper understanding of the dependencies when updating data sources in a Power BI dataset through XMLA endpoints. Most importantly, Power BI maintains security-related data source information such as credentials and privacy settings outside the dataset, whereas Azure Analysis Services and SQL Server Analysis Services maintain these settings in the data model.
» Read more We‘re excited to announce object level security (OLS) is now generally available in Power BI Premium and Pro!
» Read more Power BI is the leading platform for both self-service and IT-managed enterprise BI. We have taken great strides to bring AAS capabilities to Power BI. Power BI has inherited a large ecosystem of developers, partners, BI tools, and solutions built up over decades.
» Read more We‘re excited to announce object level security (OLS) is now available for public preview in Power BI Premium and Pro!
» Read more Today, we are announcing General Availability (GA), along with several enhancements.
» Read more Want to improve the performance and design of your Power BI model? Run these newly published rules against your model to quickly identify areas of improvement!
» Read more General announcement of read/write XMLA endpoints in Power BI Premium. List of client tools that natively work with Power BI Premium.
» Read more With the availability of virtual machine images for SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) in Azure Marketplace, you can now more easily migrate your AS and RS BI solutions from on-premises to Azure! This is a great opportunity to move your multidimensional workloads closer to Power BI to reduce the physical distance between your AS servers and your Power BI reports. For the same reasons, it’s also a good idea to deploy Azure VMs running SSRS in the same region as your SSAS VMs, or to migrate your paginated reports to Power BI so that your reports have the most efficient connectivity to their data models.
» Read more Starting with SQL Server 2019 Cumulative Update (CU) 5, DAX-based clients such as Power BI can use SuperDAX functions and query patterns against multidimensional models to boost query performance.
» Read more Today, we are further enabling external tools to work with Power BI datasets, this time from within the Power BI Desktop authoring experience. We are excited to announce the public preview of external tool support in Power BI Desktop.
» Read more