About This Architecture

ETL pipeline with wait activity flow implements a robust data ingestion pattern combining validation, transformation, and error handling with strategic delays. Data flows from ingestion through validation checkpoints, with invalid records triggering error logging and notification while valid data proceeds through a 10-second pause before processing and transformation. The pipeline includes retry logic for failed processing steps and sends success notifications upon completion, demonstrating best practices for resilient data workflows. Fork this diagram on Diagrams.so to customize wait intervals, add additional validation stages, or integrate with your specific data warehouse and notification systems. The wait activity pattern prevents overwhelming downstream systems and allows time for transient failures to resolve.

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How do you design an ETL pipeline with validation, retry logic, and wait activities to handle failures gracefully?

This diagram shows a complete ETL pipeline that validates input data, pauses for 10 seconds before processing, includes retry logic for failed transformations, and sends notifications on success or error. The wait activity pattern prevents system overload and allows transient failures to resolve naturally.