Time to get excited – the full session catalog for Microsoft Business Applications Summit is here. Explore every breakout session and workshop coming to the conference, taking place in Atlanta, Georgia June 10 – 11, 2019. Get ready to flex your skills – and build new ones – with all things Power BI and beyond. … Continue reading “Live now, full session catalog for Microsoft Business Applications Summit 2019”
E-mail subscriptions is one of the key features used by millions of SQL Server Reporting Services customers today. Our latest release for “New Feature Friday” is the support of Paginated Reports in e-mail subscriptions in Power BI. Now, for the first time, you can schedule an e-mail subscription with a PDF attachment of your full … Continue reading “E-Mail Subscriptions for Paginated Reports is Now Available”
Power BI Live Connect reports allow the dataset to be stored in Azure Analysis Services (Azure AS) or SQL Server Analysis Services (SSAS) while the report itself resides in the Power BI service. Report interactivity can be enhanced by Power BI maintaining caches of dashboard tile data and report data for initial load. However, enterprise … Continue reading “Governance settings for Power BI cache refreshes from Azure Analysis Services”
With Power BI apps, you can create collections of dashboards and reports and publish these apps to your whole organization or to specific people or groups. For the second post in our series we’re calling “New Feature Friday”, we’re pleased to announce that Paginated Reports can now be published from your workspaces as part of … Continue reading “Paginated Reports now supported in Apps in Power BI”
In Power BI datasets that combine data from multiple data sources in a single M query, privacy levels define a how the data sources are isolated from each other. Restrictive isolation levels block data from being exchanged with other data sources, which can reduce functionality and impact performance but ensures that sensitive data does not … Continue reading “Privacy Levels for Cloud Data Sources”
