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aws-etl-tf-python-project's Introduction

AWS Serverless ETL POC

Repo to create the infra for ETL process. This repo have the code to read dataset from S3, crawl the schema onto Glue data catalog, transform it via Glue Python Job and finally store it on to the DynamoDB.

This repository contains a Terraform configuration for deploying AWS resources.

The Terraform configuration creates S3, IAM roles, Glue related resources.

The infrastructure is created in the us-west-1 AWS region.

Prerequisites

  • Terraform (latest)
  • AWS Account
  • AWS CLI

Getting Started

  1. Clone the repository:

    git clone https://github.com/cvamsikrishna11/aws-etl-tf-python-project.git
    cd aws-etl-tf-python-project
  2. Initialize Terraform:

    terraform init
  3. Create a plan and apply:

    terraform plan
    terraform apply

Once the infra is created

  1. Run AWS Glue crawler to create schema table
  2. Run Glue job for the ETL

Destroying Infrastructure

When you're done with the infrastructure, you can destroy it by running:

terraform destroy

Note: If s3 bucket creation is talking more time than its becuase I might have tried that bucket name while testing, increase the project_name=netflix (in locals.tf) to next version (example netflixv1).

Happy learning ๐Ÿค—

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