Power BI Developer community February 2020 update
This blog post covers the latest updates for Power BI embedded analytics and Power BI visuals platform
» Erfahren Sie mehrThis blog post covers the latest updates for Power BI embedded analytics and Power BI visuals platform
» Erfahren Sie mehrAnnouncing the deprecation of TLS 1.1 and 1.0 in allignment with O365 announcemetn here: https://docs.microsoft.com/en-us/office365/troubleshoot/security/prepare-tls-1.2-in-office-365
» Erfahren Sie mehrIt’s time to recap all the features and announcements we made for the Power BI service and mobile for the months of October and November.
» Erfahren Sie mehrThis blog post covers the latest updates for Power BI embedded analytics and Power BI visuals platform
» Erfahren Sie mehrEmbed paginated reports in your own application for your customers
» Erfahren Sie mehrThis blog post covers the latest updates for Power BI embedded analytics and Custom Visuals.
» Erfahren Sie mehrThis blog post covers the latest updates for Power BI embedded analytics and Custom Visuals.
» Erfahren Sie mehrIntroducing a tool for accurate load testing of premium capacities
» Erfahren Sie mehrThe 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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