Import a JSON file

 If you're working with data stored in JSON format, it's often necessary to extract and normalize the data first. This is because JSON data is often stored in a nested or unstructured format, which makes it difficult to analyze or report on directly.

In this example, the data must be extracted and normalized before you can report on them, so you need to transform the data before loading it into Power BI Desktop.

After you've connected to the database account, the Navigator window opens, showing a list of databases under that account. Select the table that you want to import. In this example, you'll select the Product table. The preview pane only shows Record items because all records in the document are represented as a Record type in Power BI.

Select the Edit button to open the records in Power Query.

In Power Query, select the Expander button to the right side of the Column1 header, which displays the context menu with a list of fields. Select the fields that you want to load into Power BI Desktop, clear the Use original column name as prefix checkbox, and then select OK.

Review the selected data to ensure that you're satisfied with it, then select Close & Apply to load the data into Power BI Desktop.

The data now resembles a table with rows and columns. Data from Cosmos DB can now be related to data from other data sources and can eventually be used in a Power BI report.


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