Fix Dataformat.errors in Power Bi With These Steps

Fix Dataformat.errors in Power Bi With These Steps

Here we can see, “Fix Dataformat.errors in Power Bi With These Steps”

Power BI customers could run across different types of data format issues while attempting to make modifications to the Power BI Service database, such as adding extra tables to the SQL database. The DataFormat error is one of the errors. Error: The buffer or power bi dataformat has reached its limit. Issue The format of the external table is incorrect.

Here are some troubleshooting suggestions to fix a few Dataformat.difficulties if you are also affected by these Power BI errors.

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How to fix common dataformat.errors in Power BI

1. DataFormat.Error: We reached the end of the buffer

Check the File Size

    1. If you try to import data simultaneously from multiple files and encounter an error, there may be a problem with the file size.
    2. Make sure your file size is unrelated to the json file size by checking it.

Continue to wait!

    1. There is no purpose in trying to solve the problem outside of your comfort zone if it is only a temporary one.
    2. According to user reports, the data format mistake was automatically fixed after a day or two.
    3. Consult the Power BI support team in case the problem is on their end.

Do the following if the problem continues.

If you’re using PowerQuery, attempt to stop using it and instead create a staging table in your SQL database that uses T-SQL to parse the JSON.

2. Power BI dataformat.error external table is not in the expected format

Save the File with Excel

    1. An excel file can contain minor XML schema issues if it is being used with third-party software, such as accounting software.
    2. Although the Excel program can disregard these problems, using them with Power Query causes an error.
    3. Opening the faulty Excel file in the Excel app and saving it again is one technique to fix this problem.
    4. Import the same file into Power Query at this point and see if the error still occurs.
    5. If you have a lot of files to work with, this procedure may take a while. You can, however, find a workaround to get by the problem until a trustworthy solution is discovered.

Change Type in Applied Steps

    1. You must first import the desired file.
    2. Click the Edit button next to the Load button in the Navigator window.
    3. Remove the Change Type step from the Applied Steps section of the Right Pane.
    4. Click Apply and then Close.

If the problem continues, consider deleting the initial change from number to text for the date data type.

3.  Power BI dataformat.error invalid cell value #name/ #ref

    1. Before importing, try fixing the issue in the Excel application.
    2. Look for #N/A values in any Excel formulas to see whether that’s the source of the problem. Substitute space or Null for the value.


I hope you found this guide useful. If you’ve got any questions or comments, don’t hesitate to use the shape below.

User Questions

1. How can I correct power BI query issues?

Select the error-containing column first before replacing any rows that include errors. Next, select Replace values under the Any column group on the Transform tab. Finally, choose to Replace mistakes from the drop-down option. For example, if you wish to replace all errors with the value 10, enter 10 in the Replace errors dialog box.

2. Does Power Query have an error function?

Power Query includes its own syntax to test and detect faults, much to how Excel and the DAX language offer an IFERROR function. Errors can occur at the step or cell level, as was indicated in the article on handling Power Query errors.

3. How can I fix the Power Query error cells?

    1. Locate a previously loaded query from the Power Query Editor, choose a cell in the data, and then choose Query > Edit to launch the query. See Create, load, or update a query in Excel for more details.
    2. Choose the columns for which you want to fix the mistakes.
    3. To remove errors, select Home > Remove Rows.
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