Which File Type Is Used for Extracted Data in Tableau?


Heather Bennett

Which File Type Is Used for Extracted Data in Tableau?

When working with Tableau, one of the key tasks is to import and extract data for analysis and visualization. Tableau provides various options for importing data, including connecting directly to databases, using web connectors, and utilizing data extracts. In this article, we will focus on the file type used for extracted data in Tableau and explore its benefits.

Understanding Tableau Data Extracts

In Tableau, a data extract is a compressed snapshot of a dataset that has been optimized for fast querying and efficient storage. It allows users to work with large datasets efficiently by aggregating and summarizing the data beforehand.

Tableau extracts are stored in a proprietary file format called .hyper. This file format is specifically designed by Tableau to optimize performance and provide increased flexibility when working with large datasets.

The Benefits of Using .hyper Files

There are several advantages to using .hyper files as the file type for extracted data in Tableau:

  • Improved Performance: The .hyper file format is optimized for fast querying, ensuring that dashboards and visualizations load quickly even when dealing with large datasets.
  • Data Compression: .hyper files use advanced compression techniques that reduce their size significantly while maintaining query performance. This allows for efficient storage of large datasets without consuming excessive disk space.
  • Data Source Independence: Once a dataset is extracted as a .hyper file, it becomes independent of its original source.

    This means that even if the source database or connection changes or becomes unavailable, you can still work with the extracted data in Tableau seamlessly.

  • Data Security: .hyper files can be encrypted and password protected, providing an added layer of security for sensitive data. This ensures that only authorized users can access and work with the extracted dataset.

Creating a Tableau Data Extract

To create a data extract in Tableau:

  1. Connect to your desired data source using Tableau Desktop.
  2. Select the data you want to extract by applying filters and calculations as needed.
  3. Click on the “Extract” option in the toolbar or go to the “Data” menu and choose “Extract Data.”
  4. Specify the location where you want to save the .hyper file and click “Extract.”

Once created, the .hyper file can be used as a standalone data source in Tableau for further analysis and visualization.


The .hyper file format is specifically designed for efficient storage and querying of large datasets in Tableau. By using .hyper files for extracted data, users can benefit from improved performance, efficient storage, data source independence, and enhanced data security. Next time you are working with Tableau, consider utilizing .hyper files to optimize your data analysis workflow.

Discord Server - Web Server - Private Server - DNS Server - Object-Oriented Programming - Scripting - Data Types - Data Structures

Privacy Policy