Data Pipelines
Data Pipelines enable you to orchestrate and visualize complex analytical processes by combining various components including ETL jobs, machine learning model inference tasks, notifications, and AWS AI services.
Below is the sample resource definition file for Data Pipeline:
{
"rDataPipeline": {
"Type": "DataPipeline",
"Properties": {
"DataPipelineName": "cicddatapipeline",
"Description": "Data pipeline created using CICD",
"Keywords": [
"Owner: john"
],
"DefaultExecutionProperties": {
"from": ""
},
"Nodes": [
{
"ModuleType": "start_node",
"NodeName": "Start"
},
{
"ModuleType": "end_node",
"NodeName": "End"
},
{
"ModuleType": "email",
"NodeName": "email",
"Arguments": {},
"EmailToExecutionPropertyKey": "from",
"EmailSubjectExecutionPropertyKey": "from",
"EmailBodyExecutionPropertyKey": "from"
}
],
"Graph": {
"Start": {
"success": [
"email"
],
"failure": []
},
"End": {
"success": [],
"failure": []
},
"email": {
"success": [
"End"
],
"failure": []
}
},
"tags": {},
"CostTags": []
}
}
}
DataPipeline has dependencies on Job and Tag.
Dependent resources should not be deleted before the primary resource; attempting to do so may lead to failures or inconsistencies during the deletion process.
Referencing this Resource
Below are the common keys that can be used in the DependsOn function to retrieve details of this resource.
Supported Keys
| Key | Description |
|---|---|
| DataPipelineId | Returns the DataPipelineId value of this resource |
| DataPipelineName | Returns the DataPipelineName value of this resource |
For additional supported keys, refer to the API definition document for the respective resource type.
Example
To reference this schedule from another resource, use !DependsOn with logical name and property in the format <logicalResourceName>.<PropertyName>.
Example: {"!DependsOn": "rDataPipeline.DataPipelineId"}