Power Query, a powerful tool within Power BI, allows you to seamlessly pull data from a wide range of sources, including Excel spreadsheets, SQL Server databases, and even web pages.

Power BI supports up to 400GB data models (at about 10 to 20 times compression, that’s 4TB to 8TB of data in a single data model). These datasets can be IT-certified, and Microsoft Information ...

Data Connection and Integration: The data is imported into Power BI Desktop from the CRM, transactions database, and Excel. Power Query is used to clean and merge this data into a unified model.

For Excel power users, this may come as a bit of a shock, but workbooks destined to be linked to Power BI for its data visualization tools must be restricted to flat data. That means no matrix ...

Power BI won’t be the only way for this feature to work, though. When you import data into Excel, you can now transform it into a data type with Power Query.

Excel is a great source of data for Power BI, which can receive data from hundreds of possible sources. Power BI is a great choice for a vast array of visualization options, higher-level analytics, ...

The long way to get data in a Google Sheets file into Power BI is to save the file as an Excel file and then open that file in Power BI. That’s no longer necessary.

Microsoft has some seriously powerful tools for data management, and they’re not as scary as they might seem. We learned this ourselves during our hands-on with the Complete Big Data & Power BI ...

AtScale supports an open data fabric approach, connecting best-in-class analytics platforms such as Power BI and Excel to the world’s most powerful cloud data platforms.

See the screenshot “Exporting Report to Excel,” below. In Step 3, open the Power BI Desktop, select Get Data from the Ribbon (indicated by the top red arrow in the screenshot “Opening Power BI Desktop ...