Select the output type (Tableau Data Extract, Microsoft Excel file, or CSV file).You must safelist the directories you want to allow access to. Note: Flow input and output connections may need to connect to databases or files in the directories on your network. Name: Provide a name for the output file.In the Output pane, save the output as follows.Output files preserve the data preparation operations you’ve applied, up to and including the step in the flow where you add the output step. To add an output step, select a step in the Flow pane, click the plus icon, and select Output.The steps for generating the output of your flow are: hyper extract file to use as the prepared data source and then connect to the data in Tableau Desktop. Choose from several relational databases including SQL Server, PostgreSQL, Amazon Redshift, and more. You can output your prepared data to a database table, and then update it each time the flow is run using an incremental or a full refresh. You and others can then connect to a published data source from other Tableau products, ensuring that everyone accesses the data as you’ve prepared it. Publish an output data source to Tableau Server or Tableau Cloud. Microsoft Excel (.xlsx): Output flow data to a Microsoft Excel spreadsheet. Tableau Data Extract (.hyper): An extract file that’s optimized for Tableau’s in-memory processing data engine technology, and is useful for analysis in other Tableau products, such as Tableau Desktop.Ĭomma Separated Values (.csv): Useful when sharing your data with third parties. Output your cleaned data to the following file types. These are the different types of outputs you can generate with Tableau Prep Builder. With Tableau Prep, you can leverage the data preparation you’ve done on the sales data for both outputs, and then output a unique data source for each audience. ![]() One needs cost information and the other needs survey information. Or let’s say you’re working with sales data for both the finance and marketing departments. For example, you can generate outputs before and after performing cleaning operations in order to determine whether additional cleaning is necessary. You can generate outputs at different points within the same flow so the data meets your end users’ needs. When you publish your outputs, you provide centralized access to the data as you’ve prepared it. Or, maybe you want to output your flow as a published data source on Tableau Cloud or Tableau Server. hyper extract file, which you can then connect to and analyze in Tableau Desktop. You may want to output your prepared data to a local. You have a number of options to output your cleaned and prepared data. The data output incorporates the data preparation operations you’ve applied, up to and including the step in the flow where you added the output step, allowing you to save and share prepared data. To actually generate a cleaned data set, you must create an output step and run the flow. However, note that neither of these flow files is the prepared data. For flat files, you can also save a packaged flow file (.tflx file), which contains an extract of the original data set. A flow file stores the information about the flow itself, including its data connections and the changes made to prepare the data. When you save a flow, you generate a flow file (.tfl file). This preserves all the changes you made so that you can continue editing, share the flow, or create an output of the prepared data to use or share with others. Now that you’ve created a flow and prepared your data in Tableau Prep Builder, save your flow file using Save on the File menu.
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