Best practice rules to improve your model’s performance
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!
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!
General announcement of read/write XMLA endpoints in Power BI Premium. List of client tools that natively work with Power BI Premium.
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.
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.
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.