Dataset-to-workspace relationship

As described in the Workspace datasets section of Chapter 8Managing Application Workspaces and Content, the Power BI reports, based on Live connections to published Power BI datasets, are currently tied to the app workspace of the dataset. Therefore, in the absence of an Analysis Services database for Live connection reports or a supported DirectQuery data source, each app workspace and its corresponding app will require its own import mode dataset. The ability to utilize a single source Power BI dataset to support reports and dashboards across multiple app workspaces (and thus apps) is expected in 2018.

Prior to the availability of this centralized dataset workspace, BI teams can avoid duplicating datasets by deploying large, consolidated apps. These apps would contain the reports and dashboards relevant to multiple teams (for example, Sales, Finance), and the business users could use the Favorites feature to quickly access the most relevant content. Although not ideal, this would eliminate the need to manage multiple data-refresh schedules and to keep multiple datasets synchronized to the same business definitions.

Despite new features and capabilities that will increase the scalability of Power BI datasets, particularly Power BI Premium capacity, many organizations will choose either SQL Server Analysis Services (SSAS) or Azure Analysis Services (AAS) to support large-scale deployments.

For example, a BI project targeted at a particular business process and team, such as shipping for the supply chain team, may start out as a large Power BI dataset (.pbix). Once the Power BI dataset has proven to be valuable and stable in terms of business definitions and requirements, the dataset could be migrated to an Analysis Services model. The differences between Power BI datasets and Analysis Services models as well as migration considerations are contained in Chapter 13Scaling Up with Power BI Premium.

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