Master AWS Lambda Functions for Data Engineers using Python
Build Lambda Functions using Python, Lambda Triggers, Deploy using layers and Docker, Validate using Glue and Athena
What you'll learn
- Setup required tools on Windows to develop the code for ETL Data Pipelines using Python and AWS Services
- Setup Project or Development Environment to develop applications using Python and AWS Services
- Getting Started with AWS by creating account in AWS and also configure AWS CLI as well as Review Data Sets used for the project
- Develop Core Logic to Ingest Data from source to AWS s3 using Python boto3
- Getting Started with AWS Lambda Functions using Python 3 Run-time Environment
- Refactor the application, build zip file to deploy as AWS Lambda Function
- Create AWS Lambda Function using Zip file and Validate
- Troubleshoot issues related to AWS Lambda Functions using AWS Cloudwatch
- Build custom docker image for the application and push to AWS ECR
- Create AWS Lambda Function using the custom docker image in AWS ECR
- Develop Applications using AWS Lambda Functions by adding Python Modules as Layers
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