How and Why to Create Tableau Data Extracts (.hyper)

By: Eric Parker

Eric Parker lives in Seattle and has been teaching Tableau and Alteryx since 2014. He's helped thousands of students solve their most pressing problems. If you have a question, feel free to reach out to him directly via email. You can follow him on LinkedIn or sign up for a Tableau Office Hour to work with him directly!

If you want to create the best user experience in Tableau, odds are you want to convert your data connections into extracts. Tableau Data Extracts (.hyper) provide the most efficient way to query data in Tableau. Extracts are local snapshots of your data which have been optimized for usage in Tableau.

Extracts can be customized to filter data, aggregate data, and even hide unused fields. Server and cloud-based data sources can support automated extract refreshes on Tableau Server and Tableau Cloud.

If you're ready to take your Tableau development experience and end-user experience to the next level, check out this video on how to convert your data connections to Tableau Data Extracts!

Need help with your own data sources? Sign up for an office hour to work with Eric! Want to dive deep into Tableau? Check out our upcoming Tableau classes!

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