Processing Amazon S3 objects at scale with AWS Step Functions Distributed Map S3 prefix

The article discusses processing large-scale data files using AWS Step Functions Distributed Map, a new feature for iterating over Amazon S3 objects with simplified management.

• Enables processing large datasets by running concurrent workflow iterations in parallel
• Introduces prefix-based iteration with `LOAD_AND_FLATTEN` transformation
• Demonstrates a use case of application log processing and summarization
• Provides a sample workflow that:
  • Iterates over log files from an S3 prefix
  • Puts hourly error count metrics into CloudWatch
  • Stores metrics in DynamoDB
  • Invokes a Lambda function for metrics aggregation
• Supports multiple input types including CSV, JSON, JSONL, and Parquet

The feature simplifies data processing workflows by eliminating the need for nested workflows and custom code, making it easier to build dynamic, resilient data processing pipelines.