https://github.com/jaehyeon-kim/sam-for-data-professionals
Serverless Application Model (SAM) for Data Professionals
https://github.com/jaehyeon-kim/sam-for-data-professionals
aws aws-lambda dataengineering sam serverless
Last synced: about 1 month ago
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Serverless Application Model (SAM) for Data Professionals
- Host: GitHub
- URL: https://github.com/jaehyeon-kim/sam-for-data-professionals
- Owner: jaehyeon-kim
- Created: 2022-07-15T09:29:18.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-05-25T22:39:40.000Z (about 3 years ago)
- Last Synced: 2025-04-04T14:44:12.878Z (about 1 year ago)
- Topics: aws, aws-lambda, dataengineering, sam, serverless
- Language: Python
- Homepage: https://jaehyeon.me/blog/2022-07-18-sam-for-data-professionals/
- Size: 17.6 KB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# SAM for Data Professionals
[Serverless Application Model (SAM) for Data Professionals](https://jaehyeon.me/blog/2022-07-18-sam-for-data-professionals/)
- [AWS Lambda](https://aws.amazon.com/lambda/) provides serverless computing capabilities and it can be used for performing validation or light processing/transformation of data. Moreover, with its integration with more than 140 AWS services, it facilitates building complex systems employing [event-driven architectures](https://docs.aws.amazon.com/lambda/latest/operatorguide/event-driven-architectures.html). There are many ways to build serverless applications and one of the most efficient ways is using specialised frameworks such as the [AWS Serverless Application Model (SAM)](https://aws.amazon.com/serverless/sam/) and [Serverless Framework](https://www.serverless.com/framework/docs). In this post, I’ll demonstrate how to build a serverless data processing application using SAM.