Şu kategorideki gönderiler: Features

What’s new for SQL Server 2019 Analysis Services RC1

We are excited to announce RC1 of SQL Server 2019 Analysis Services (SSAS 2019). The SSAS 2019 release is now feature complete! We may still make performance improvements for the RTM release. RC1 introduces the following features: Custom ordering of calculation items in calculation groups Query interleaving with short query bias for high concurrency workloads Online attach for optimized synchronization of read-only replicas SuperDAXMD for improved performance of Power BI reports over SSAS multidimensional Governance setting to control Power BI cache refreshes

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Change to Summarized Data Export behavior with Build permission

As we rolled out the preview of Shared Datasets and the new Build permission, we received feedback that our limitations on export of summarized data from a visual are overly restrictive. We are adjusting our approach based on your feedback. Specifically, we will allow users with the Read permission to export summarized data from a visual. 

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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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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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Power BI Desktop July 2019 Feature Summary

With this month comes the first feature release from our announcements at Microsoft Business Application Summit, Icon sets, which also addresses our current #1 idea on ideas.powerbi.com. On top of this major update, we have incremental improvements for many of our existing features, such as measure support for the Key influencers visual and RLS support for aggregations. To round this out, we are also making several key features, the new filter pane and aggregations, generally available.

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