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Share a Tableau workbook

How to share a Tableau workbook without data using Tableau Desktop

If you need to share a Tableau Workbook without data, you can follow these steps using Tableau Desktop:

  1. Start with a Tableau Workbook with data and graphs all lined up.
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  1. Next - changing the data connection to blank files.
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  1. Now - save the file and exit Tableau.
  • After exiting, I moved the file to a different directory - somewhat simulating the transfer of the file to someone else.
  • I open the file from the new directory.
  • An error message appears because the attached data sources are not contained in the new directory/filepath.
  • This means connecting to blank data before sending was not necessary, except to hide file names.
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  1. Selecting show details describes the error, FYI.
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  1. Select Yes to connect to your data.
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  1. Select Edit Connection
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Sometimes, Edit Connection does not work; needed to remove connection and then add a new connection. There is no clear explanation at present as to why!

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Now there is data, and the dashboard shows all the same information for the new data.

You need to adjust the data type of the fields: due_by and completed_on.

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Thats it! You can now share your Tableau Workbook without data using Tableau Desktop.

Tableau > Troubleshoot issues

Token-based authentication using Access Key and Secret Access Key is recommended over IAM credentials when connecting Tableau to AWS Athena resources for more reliable data access and troubleshooting connection issues.

Tableau > Connect Tableau to Tallyfy

Connecting Tableau to Tallyfy Analytics requires Amazon Athena connector installation token-based authentication and proper drivers setup to access and analyze process data through SQL queries.

Analytics > Tableau

Tallyfy enables data visualization and analysis through Tableau integration by connecting workflow data via Amazon Athena drivers for real-time business intelligence insights.

Analytics > How Tallyfy Analytics works

Tallyfy Analytics processes data by converting API events into CSV files then Parquet format before storing them in Amazon S3 for analysis through BI tools using Amazon Athena integration.
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