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Table of Contents
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Overview

The Split step duplicates an input dataset to create identical output datasets. Under normal circumstances, a single step can only be connected to one other step. But using the split transformation step, you can connect one step to multiple steps.

Note: This step does not need to be configured. And you can split a step multiple times using this.

 

Step Configuration

Follow the instructions below to configure a Split step:

  1. Expand the Transformation Steps button on the left side of the Transformation Flow builder, to view a list of transformation steps.
  2. Drag the Split step from the list of transformation steps.

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  3. Connect this step to the previous step in the flow.
  4. Add more steps to the flow, and one by one connect them to the split step.
  5. For example, you can split data from a single data source and store it in multiple databases. 


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Complete Example

In this example, we will cover how to create a simple transformation flow that involves a split transformation step. Our flow will involve extracting data from a data source, splitting it into two parts, with each part getting a different type of transformation applied to it. Each of the results are then saved into separate outputs. You could always include additional steps in your own transformation flows. 

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