Ingest CSV data to Amazon DynamoDB using AWS Lambda
Database Blog
This article provides a comprehensive guide to ingesting CSV data into Amazon DynamoDB using AWS Lambda, creating a serverless ETL pipeline with the following key features:
- Automatically triggered by S3 file uploads
- Processes CSV files and writes data to DynamoDB
- Implements error handling and retry logic
- Creates JSON copies of processed data
- Supports audit trails by tracking unprocessed items
The solution addresses data ingestion challenges by providing a scalable, event-driven approach that can handle 1,000 to 1 million rows per file. It includes built-in error handling, performance optimization, and compliance-friendly logging mechanisms.
Key benefits include automated data processing, serverless architecture, and minimal maintenance requirements for CSV-to-DynamoDB data transfers.
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