Data Preparation (Docker)
Last updated
Last updated
All component configurations are classified broadly into 3 section
​Basic ​
Metadata
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:
The following two options provided under the Data Center Type field:
Data Set
Data Sandbox
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.
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.
A success notification message appears when the component gets saved.
Save and Run the Pipeline workflow.
Click the Save Component in Storage icon.