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Overview

Using the Aggregate transformation step, you can aggregate your data by changing it into a summary form by applying various functions.

 

Aggregate Functions

Following are the different types of aggregate functions:

 

Aggregate type

Applicable datatype

Explanation

None

Text, Numeric

This will include the field without applying any changes to it. Such fields will be used for grouping.

Remove

Text, Numeric

This will remove the field.

Count

Text, Numeric

This will count all the values in the field.

Count distinct

Text, Numeric

This will count all the distinct (unique) values in the field.

Max

Numeric

This will return the maximum value in the field.

Min

Numeric

This will return the minimum value in the field.

Sum

Numeric

This will sum all the values in the field.

Average

Numeric

This will return the average of all the values in the field.

 

 

Aggregate Transformation Flow

In this example, we will cover how to create a simple transformation flow that aggregates data. This flow will involve setting up an input step, applying the Aggregate transformation step, and then storing the data into a database. You could always include more steps to your flows. 

 


  1. Click on the Create button in the top-right corner.

  2. Then select Transformation Flow. 

    If you do not see this option, you may not have security access to transformation flows. Learn how to get access here.





  3. You will be taken to the transformation flow builder.

  4. Hover your cursor over the Input Steps button on the left side. A panel with a list of all data extraction steps will appear.



  5. Drag one of these steps onto the canvas. (For this procedure, we will use the report step as an example. Click here to learn about the different input steps.)

  6. On doing so, a popup will appear, to choose a report that you want to use in your flow.



  7. Select a report by providing its name, and once the column fields appear, click Add Report.



  8. The report fields will appear in the transformation flow panel to be configured. 

  9. When in the Configure tab, select only the fields that you want data to be extracted from.



  10. You can make further changes, such as renaming the step, etc.

  11. Once you’re done with the configuration, click on the Apply button. 

    You must click on the Apply button to save the configuration details. If you do not click on this button, and click somewhere else first, you will lose the configuration details.



  12. On doing so, the data preview panel will display the data extracted from the configured data source.  



  13. You can also apply transformations to fields directly from the data preview panel. Click here to learn more.

  14. A new Fields tab will also appear in the step configuration panel. Use this to manage the data fields that are extracted from the step. 

  15. You can also add other steps to your transformation flow. 

  16. When you are ready to aggregate your data, follow the steps below.

  17. Expand the transformation step panel by hovering on its icon in the step builder, and then dragging the Aggregate step onto the canvas. 



  18. Next, create a connection between the input step (or the previous step, if you've added any other ones) and the aggregate step. Hover over the step, and then drag a connection point to the aggregate step. (Click here to learn about rules involving connections, and how to break existing connections.)




  19. Now click on the aggregate step icon to configure it. The transformation flow panel will display each of the incoming fields from the previous steps.



  20. Select the aggregate function for the fields that you want to aggregate. The list above explains each of these functions in detail.



  21. Once aggregation selection for all the required fields have been made, click Apply. The transformed data will appear in the data preview panel




  22. You can continue to transform your data further by adding more transformation steps.

  23. Once you are read to save your data in a writeable database, follow the steps below.

  24. Extend the output step panel by hovering on its icon, and drag the SQL database output step onto the canvas.



  25. Next, connect the aggregate step (or the previous step in your flow) to the output step by creating a connection.

  26. And then configure the output step through the panel on the right-side. Click here  to learn more about configuring this step.
    Note: By default, the output step will be highlighted as red to signify that it contains errors. This is because it has not been configured yet.



  27. You can now execute the draft flow by clicking on the run button in the top header menu.


  28. Or save the flow for a full execution. To do that, click on the Publish button.




  29. Then provide details in the popup that appears, such as providing a proper name, and selecting rights to access the flow.




  30. Finally click on the Save button.

 


 

 




 

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