Most recent articles

Announcing Power BI “Back to School” Contest!

Last month, Power BI partnered with Hacking STEM and NASA to create an interactive, educational data story to teach students about radiation. Educators loved the idea of bringing Power BI data stories to the classroom, and they are looking for more! So, this month we are launching a “Back to School” Contest to engage and empower students with Power BI! The contest will run from August 1st to September 6th, and the winners will be featured in the Power BI Blog! Channel your love for education and get started today!

» Read more

Introducing the new look for Power BI Service

We’re excited to announce a public preview of the ‘new look’ for Power BI service. We’re refreshing the user interface to provide a modern experience that’s simpler and builds on customers’ familiarity with Microsoft products. Simplified action bar, vertical navigation, metadata – read on to learn more about how we’re simplifying navigation and making Power BI easier to use and accessible to many more.

» Read more

Announcing the New Filter Experience for Power BI Reports

This month we are incredibly excited to announce that the new filter experience is now generally available. We have updated the look and feel and added a ton of new functionality. The new capabilities include a new filter view to see what filters are applied to a visual, the ability to format or theme the filter experience, hide or lock filter cards, sort the filter cards, rename filter cards, and control the visibility and state of the filter pane in bookmarks.

» Read more

Aggregations for petabyte-scale BI is generally available!

The volume of data is growing at an ever-increasing rate. As it grows, so does the value to the companies that are able to unlock insights from it. Power BI is all about helping organizations embrace a data culture, where every user can make better decisions based on data big and small, no matter where that data is coming from 

Providing users a way to do analysis over large volumes of data has traditionally been challenging. Large volumes require extra compute power and specialized skills to effectively model and analyze. To unblock users, organizations have often relied on transforming big datasets into smaller, more manageable datasets, which can then be analyzed using traditional BI reporting and visualization tools. When data is transformed from big to small, the details of the data tend to get lost as dimensionality is traded away for size and performance. While insights are lost, management complexity and costs grow as development teams work to populate these multiple smaller datasets.

» Read more