![]() All of the sudden, there would be a multitude of reports from different datasets in your team's workspace in the Power BI service. Everyone on Anna's team would attempt to create their own version of that dataset, then share their own reports with the team. Anna can create a dataset and report, and then share that report in the Power BI service.Įveryone loves Anna's report and dataset. Anna is skilled at creating good data models, often called datasets. Let's say Anna is a business analyst is on your team. Create a dataset everyone can use, then share it ![]() The Power BI service live connection addresses that challenge, and makes creating, sharing, and expanding upon common-dataset reports and dashboards easier and consistent. Since so many people do so, often using the same or nearly the same datasets, knowing which report was based on which dataset and how fresh each dataset might be becomes a challenge. It's easy to create compelling reports in Power BI Desktop, then publish those reports in the Power BI service, and to create great dashboards from those datasets. One challenge with the popularity of Power BI is the proliferation of reports, dashboards, and their underlying data models. Using a Power BI service live connection for report lifecycle management We recommend you review the considerations and limitations of this feature. There are all sorts of benefits of this feature, including best practices, which we discuss during this article. This feature is called Power BI service live connection. pbix files from that common data model, and save them to different workspaces. Then you and others can create multiple different reports in separate. You can create your perfect data model in Power BI Desktop and publish it to the Power BI service. You can establish a live connection to a shared dataset in the Power BI service, and create many different reports from the same dataset.
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