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We have added lots of new capabilities to Power Query Online & Dataflows. This blog post provides a recap walkthrough of these new capabilities.

Power BI Publish to web helps organizations share data on public websites, enabling communities to stay informed. Learn how you can make your reports load faster for users, and provide improved experiences in the event your report experiences heavy usage.

When sharing Dashboards, Reports and Apps with External Power BI Users there is an updated view and a way to enable the navigation pane!

We’re happy to introduce new admin settings in Power BI admin portal, which provide you more granular control over export options in Power BI, and extend export settings to control also export from paginated reports.

We’ve looked at images from sources like OneDrive and the web with your Power BI reports. What about from a database? Is that possible? Patrick takes a look at how you can do it. SQLJason Blog: http://sqljason.com/2018/01/embedding-images-in-power-bi-using-base64.html Gerhard’s Blog: https://blog.gbrueckl.at/2018/01/storing-images-powerbi-analysis-services-data-models/ Chris Webb’s Blog: https://blog.crossjoin.co.uk/2019/05/19/storing-large-images-in-power-bi-datasets/

This blog post shows how to vary the partition configuration for Power BI datasets using Power BI Premium or Power BI Premium Per User

We’re starting off the first full week of December with a bang!  First, we finished rolling out the public preview of Premium per user to all public tenants earlier today.  And now, as if you needed another reason to jump into the preview, we’re pleased to announce one of the most highly requested features on Power BI user voice is now available.

The most exciting feature of this version is that now with a few clicks you can clean up the Power BI model, but we have a few other things to add also; Exporting the result of DMV Partitions (Includes the M script of each table)Showing unused measures in the visualization tabshowing all columns/measures that their…

If you've been reading the Power BI announcements, you probably know already that there is a very exciting new integration with Power Automate: the Dataflows Power Automate connectors!For those of …

We’re excited to introduce a new datasets hub in the Power BI service and Power BI personal app in Teams. The datasets hub makes it easy to find, explore, and use the datasets in your organization. It provides information about the datasets as well as entry points for creating reports on top of those datasets or for using those datasets with Analyze in Excel.

Back in October I blogged about using PowerShell and/or the Power BI dataflows REST APIs to trigger a dataset refresh on dataflow refresh completion. This was a new capability and was well received…

Power BI is the Magic Quadrant Leader among analytics and business intelligence platforms and over 200,000 customers around the world use Power BI and bring 40 petabytes of data into Power BI every …

Power BI Premium Generation 2 (preview) was announced few months ago and offered substantial improvements in performance and scale to Premium subscribers. Today we are thrilled to announce that the …

If you are looking to change the user connection when using Excel to a Power BI dataset or Azure Analysis Services I explain how to do this.

We are excited to announce the public preview of VNet connectivity for Power BI datasets.

As you may have noticed, life is complicated and keeps getting in the way of my plans to be a more active blogger and YouTuber[1]. I haven’t released a new dataflows video of my own in far to…

This blog post demonstrates how to feature a certified app in Power BI Home and in a Users Apps to be easily found.

As data becomes more accessible for analysis, risk of accidental oversharing or misuse of business-critical information increases. Today, we’re happy to announce a preview of Power BI MIP label inheritance when import data from Azure Synapse Analytics and Azure SQL Database. This capability will help you to ensure your data remains classified and secured across its data journey from Azure, trough Power BI and all the way to Office.

Learn why and how to deploy Power BI for Microsoft Teams broadly within your organization. This guide provides you a game plan to justify and execute a roll-out. It helps you move to action quickly with PowerShell script example to automate the process.

Deployment pipelines helps enterprise BI teams build an efficient and reusable release process by maintaining development, test, and production environments.BI teams adopting deployment pipelines, …

We have added lots of new capabilities to Dataflows. This blog post provides a recap walkthrough of these new capabilities.

A collection of best practice links and guidance for dataflows

Sharing reports in Power BI will be as easy and familiar as sharing in Office. At the end of this month, we’ll be introducing a new sharing capability in Power BI that will allow reports to be shared with people within the organization through shareable links.

Deployment pipelines helps enterprise BI teams build an efficient and reusable release process by maintaining development, test, and production environments.BI teams adopting deployment pipelines, …

We‘re excited to announce object level security (OLS) is now generally available in Power BI Premium and Pro!

"If 80 percent of our work is data preparation, then ensuring data quality is the important work of a machine learning team." Andrew Ng Data quality is one of the highest challenges in any BI project. ETL developers tend to spend a lot of time creating data preparation processes with complex and expensive pro-code tools…

Over the years I have written a lot about Power BI/Power Query performance but it has always been in the context of loading data direct into datasets, not dataflows. A lot of cool things have been …

The purpose of this article is to provide Power BI developers with a deeper understanding of the dependencies when updating data sources in a Power BI dataset through XMLA endpoints. Most importantly, Power BI maintains security-related data source information such as credentials and privacy settings outside the dataset, whereas Azure Analysis Services and SQL Server Analysis Services maintain these settings in the data model.