When should you use an extract instead of a live connection?

General Rule #1: Extracts are better than live connections when the data is small to medium unless you’re using a database specifically optimized for analytic queries.

What is an extract in Tableau?

Extracts are saved subsets of data that you can use to improve performance or to take advantage of Tableau functionality not available or supported in your original data. After you create an extract, you can refresh it with data from the original data.

What is live data Tableau?

Live connection. This refers to a data source that contains direct connection to underlying data, which provides real-time or near real-time data. With a live connection, Tableau makes queries directly against the database or other source, and returns the results of the query for use in a workbook.

What is the disadvantage of live connection in Tableau?

The Tableau queries to the live connection might slow down operational queries too much, so having Tableau only query at scheduled extract refresh times is preferable.

Which of the following is the best reason to use an Tableau data extract instead of a live connection?

1. Which of the following is the best reason to use an extract instead of a live connection? The correct answer is c. You need to apply an aggregation that takes too long when using a live connection.

How do you extract in Tableau?

In the workbook, right-click the data source in the Data pane and choose Extract Data. In the Extract Data dialog box, click the Extract button to extract all data from the data source. After the extract completes, the data source icon changes to indicate that an extract is active for that data source.

What are extract filters in Tableau?

Extract filter is used to filter the extracted data from the data source. This filter is utilized if the user extracts the data from the data source. After connecting the text file to Tableau, you can see the two options, Live and Extract in the top right corner of the data source tab.

What are different filters in tableau?

There are six different types of filters in tableau desktop based on their various objectives and are mentioned below as per their execution steps.

• Extract Filters.
• Data Source Filter.
• Context Filter.
• Dimension filter.
• Measure Filters.
• Table Filters.

Which of the following is the best reason to use an extract instead of a live connection?

What are different filters in Tableau?