分類された投稿: Announcements

Power BI Desktop August 2019 Feature Summary

Our August release has another hotly anticipated feature from the Microsoft Business Application Summit, grouping. Grouping in reports, similar to PowerPoint’s grouping, lets you easily organize groups of visuals to move and resize them as a set. This month’s release also has some updates to our newest features, such as a  icon set picker for our newly added icons conditional formatting and measure support for key influencers.  

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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!

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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.

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