Data Pipeline Planning Worksheet

Plan and document your data pipelines by defining sources, transformations, and sinks. Export your plan as PDF or CSV.

Pipeline Information

Pipeline Stages

No stages added yet. Click the buttons above to add data sources, transformations, and sinks.

Pipeline Flow Diagram

Add stages above to see the pipeline flow

How to Use

  1. Fill in Pipeline Information: Enter the pipeline name, owner, schedule, and description to document your pipeline metadata.
  2. Add Data Sources: Click "+ Source" to define where your data comes from (S3, RDS, Kinesis, etc.).
  3. Add Transformations: Click "+ Transformation" to document data processing steps (filtering, aggregation, joins, etc.).
  4. Add Sinks: Click "+ Sink" to specify where processed data will be stored (Redshift, S3, DynamoDB, etc.).
  5. Review the Flow: Check the pipeline diagram to visualize your data flow.
  6. Export: Download your plan as a printable PDF or a CSV file for further analysis.

About This Tool

The Data Pipeline Planning Worksheet helps data engineers document and plan their data pipelines before implementation. Use it to:

  • Document data sources, formats, and schemas
  • Define transformation logic and processing requirements
  • Specify output destinations and formats
  • Estimate processing times and SLAs
  • Share plans with team members for review

Common AWS Services

Sources: Amazon S3, Amazon RDS, Amazon Kinesis, Amazon DynamoDB, AWS DMS, Amazon MSK

Transformations: AWS Glue, Amazon EMR, AWS Lambda, Amazon Athena, AWS Step Functions

Sinks: Amazon Redshift, Amazon S3, Amazon OpenSearch, Amazon DynamoDB, Amazon RDS

Privacy: This tool runs entirely in your browser. No data is sent to any server. Your pipeline plans are stored temporarily in your browser's memory and are cleared when you close the page.