difference between tableau prep and desktop

#DIFFERENCE BETWEEN TABLEAU PREP AND DESKTOP HOW TO#
#DIFFERENCE BETWEEN TABLEAU PREP AND DESKTOP LICENSE KEY#
#DIFFERENCE BETWEEN TABLEAU PREP AND DESKTOP TRIAL#

py extension somewhere where you will easily find it again. Return pd.DataFrame(results, columns=results) You can even just copy and paste this into a text file and replace the ‘’ with your own link: The script we need will just have a few lines of code, most of which are the API link from Supermetrics. In case you are worried about that step, don’t be. You can find the required option in the ‘Help’ menu of Tableau Prep under ‘Help’ > ‘Settings and Performance’ > ‘Manage Analytics Extension Connection’.įor this guide, we assume you are setting this up on your local machine, so all you need to do is make sure that TabPy is still running and that the port you see in the window matches the port that TabPy is listening on.Ĭlick the ‘Sign in’ button, and you’re done! Step 3: Set up the Python script The final piece of prep for TabPy is to configure the connection to it in Tableau Prep Builder. It’ll tell you that it’s running and listening for incoming requests from Tableau on port 9004. Once the installation is complete, you can start using TabPy by running the background process in a terminal window.

Of course, you will need a recent version of Python for it to work. You can find the installation instructions on the package’s Github. It lets you run Python scripts right inside Tableau dashboards or, and most importantly for our case here, inside Tableau Prep Builder. TabPy is the second component that we need for this solution.

#DIFFERENCE BETWEEN TABLEAU PREP AND DESKTOP LICENSE KEY#

All you need to do is download it from the Tableau website, install it on your computer, and finally, enter your license key or start the free trial. Since Tableau Prep Builder is available in the Tableau suite, you may already have access to it. The result is the output of your data set in Tableau Hyper Extract - which is optimized for building reports in Tableau. That way, you’ll be able to follow what’s happening with your data and identify errors quickly. The best thing about Tableau Prep Builder is that it lets you visualize all your data transformation operations. Tableau Prep Builder is a data transformation tool that Tableau released in 2018 to help its users clean and prepare data for analysis.

#DIFFERENCE BETWEEN TABLEAU PREP AND DESKTOP TRIAL#

Start free trial Step 1: Install Tableau Prep Builder When we’re done, you’ll be able to combine the output of Supermetrics API queries with other data sources via Union and schedule an incremental refresh of a Tableau extract with data from our API.

Create the flows in Tableau Prep Builder, which will create Tableau extract files for us.

Create a small Python script that will contain the Supermetrics API call.

#DIFFERENCE BETWEEN TABLEAU PREP AND DESKTOP HOW TO#

In this article, I’ll show you how to connect your data to Tableau Prep Builder using Supermetrics API and share some ways you can leverage your data there. That is until Tableau introduced Tableau Prep Builder to empower data users - including analysts and marketers who may not have deep analytical skills - to transform their data. However, since businesses have data in many different places and formats, cleaning data for analysis can become a heavy process.

In order to build an actionable and insightful report in Tableau, you need to have well-prepared and clean data.

Difference between tableau prep and desktop