• Articles
  • Tutorials
  • Interview Questions

What is a Tableau Extract? How to Create and Use Tableau Extracts

Tableau Data Extracts

To improve performance and data to allow for more advanced capabilities and to analyze offline you can use tableau data extracts which are saved subsets of a data source. You can make a Tableau data extract by defining filters and limits that contain the data you want in the Tableau extract.

After creating a Tableau data extract you can refresh it through data from the original data source. You can either refresh the data, replacing all of the tableau data extract contents or you can increment the tableau extracts, which only add rows that are novel since the last refresh.

Go through the Tableau course to get a clear understanding of Tableau.

Watch this video on Tableau for Beginners:

Tableau data Extracts can

  • Improve performance.
  • Add functionality to file-based data sources, such as the ability to compute Count Distinct.
  • Provide offline access to your data
  • Creating a Tableau extracts
  • Using tableau extracts
  • Refreshing tableau data Extracts
  • Adding Rows from a File
  • Upgrading Legacy tableau extracts
  • Optimizing Tableau extracts

BI Professional

Once you are done with this tutorial, you can check out the list of Tableau Interview Questions For Freshers prepared by the experts, which will help you to crack any Tableau interview. And if you are interested in doing an end-to-end Tableau training, Intellipaat has curated just the right course, so that you gain all of the requisite skills in Tableau BI Tool.

Course Schedule

Name Date Details
Tableau Certification Training Course 20 Jul 2024(Sat-Sun) Weekend Batch
View Details
Tableau Certification Training Course 27 Jul 2024(Sat-Sun) Weekend Batch
View Details
Tableau Certification Training Course 03 Aug 2024(Sat-Sun) Weekend Batch
View Details

About the Author

Data Analyst & Machine Learning Associate

As a Data Analyst & Machine Learning Associate, Nishtha uses a combination of her analytical skills and machine learning knowledge to interpret complicated datasets. She is a passionate storyteller who transforms crucial findings into gripping tales that further influence data-driven decision-making in the business frontier.