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What is AWS Batch and what type of workloads is it designed for? What are job queues and job definitions in AWS Batch? What are compute environments in AWS Batch, and how do managed and unmanaged compute environments differ? How does AWS Batch support using Spot Instances to reduce compute costs for batch workloads? How does AWS Batch multi node parallel jobs support tightly coupled high performance computing workloads? How can AWS Batch be integrated with Step Functions or EventBridge to build complex, automated data processing workflows?
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How does AWS Batch support defining dependencies between jobs to build multi step processing pipelines?

Intermediate

Answer

AWS Batch lets you specify that a job depends on the successful completion of one or more other jobs before it is allowed to start, enabling you to build multi step processing pipelines, such as a data extraction job that must finish before a subsequent transformation job begins, all managed automatically by the service without needing a separate workflow orchestration tool for simple sequential dependencies.
aws batch submit-job --job-name transform-job --job-queue my-queue --job-definition transform-def --depends-on jobId=abc123
Real-world example A data pipeline submits an extraction job followed by a transformation job that explicitly depends on the extraction job's completion, ensuring the transformation step never runs against incomplete or missing extracted data.

Common follow-ups: How many job dependencies can a single job have?;When should you use Step Functions instead of job dependencies for complex workflows?

AWS Step Functions;AWS Glue & ETL
All 7 AWS Batch questions