For organizations, we’ve worked hard to ensure Power BI can scale to meet even the most demanding and complex needs of our customers. As part of this effort, we brought many Azure Analysis Services capabilities to Power BI including XMLA endpoints, large models, object-level security, and backup/restore datasets. We also introduced dozens of new features that make it even easier for developers and data scientists to customize, extend, and embed Power BI including automatic aggregations, dataflows for streaming data, embedding in Jupyter notebooks, and so much more.
Finally, we addressed one of the biggest asks from our customers around pricing flexibility. We introduced Power BI Premium per user earlier this year to make our premium features more accessible to small and medium businesses and workgroups within large organizations. We also introduced a new Autoscale capability to add vCores to capacity during utilization peaks, ensuring you have access to as much computing power as you need, when you need it.
Power BI customers such as EY, Bayer, and Rockwell Automation are using many of these capabilities to drive data cultures and transform decision-making in their organizations.
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