Data Preparation (Docker)

All component configurations are classified broadly into 3 section

• ​Basic ​

• Metadata

• ​Resource Configuration

Steps to configure the Data Preparation component

• Select the Data Preparation from the Transformations group and drag it to the Pipeline Editor Workspace.

• The user needs to connect the Data Preparation component with an In-Event and Out Event to create a Workflow as displayed below:

Meta Information

• The following two options provided under the Data Center Type field:

  • Data Set

  • Data Sandbox

When Data Set is selected as Data Center Type

• Navigate to the Meta Information tab.

• Data Center Type: Select Data Set as the Data Center Type.

• Data Set Name: Select a Data Set Name using the drop-down menu.

• Preparation(s): The available Data Preparation will list under the Preparation(s) field for the selected Data Set. Select a Preparation by using the checkbox.

When Data Sandbox is selected as Data Center Type

• Navigate to the Meta Information tab.

• Data Center Type: Select Data Sandbox as the Data Center Type.

• Data Sandbox Name: Select a Data Sandbox Name using the drop-down menu.

• Preparation(s): The available Data Preparation will list under the Preparation(s) field for the selected Data Sandbox. Select a Preparation by using the checkbox.

Saving the Component

• Click the Save Component in Storage icon.

• A success notification message appears when the component gets saved.

• Save and Run the Pipeline workflow.