Serverless ETL/ELT Architecture with S3, EventBridge, Lambda, Step Functions, and Glue
📰 Dev.to · Renaldi
Learn to build a serverless ETL/ELT architecture on AWS using S3, EventBridge, Lambda, Step Functions, and Glue
Action Steps
- Design an ETL/ELT workflow using AWS Step Functions to orchestrate tasks
- Configure Amazon S3 to store and trigger data processing events
- Set up Amazon EventBridge to capture and route events to Lambda functions
- Implement data transformation and loading using AWS Lambda and Glue
- Monitor and debug the ETL/ELT pipeline using AWS CloudWatch and X-Ray
Who Needs to Know This
Data engineers and architects can benefit from this article to design and implement scalable ETL/ELT pipelines, while developers can learn to integrate these services with their applications
Key Insight
💡 Serverless ETL/ELT architecture on AWS can be achieved by integrating S3, EventBridge, Lambda, Step Functions, and Glue for scalable and efficient data processing
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🚀 Build serverless ETL/ELT pipelines on AWS with S3, EventBridge, Lambda, Step Functions, and Glue! 💡
Key Takeaways
Learn to build a serverless ETL/ELT architecture on AWS using S3, EventBridge, Lambda, Step Functions, and Glue
Full Article
In this post, I will walk through a production-style serverless ETL/ELT architecture on AWS using...
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