a4lamber/aws-s3

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Batch Processing and Upload to S3

This repository contains code for batch processing and uploading data to Amazon S3. The code is written in Python and can be easily customized for different use cases.

Features

• Processes large amounts of data quickly and efficiently
• Uploads data to Amazon S3 for easy storage and retrieval
• Can be run on a schedule or as a one-time job
• Supports multiple file formats, including CSV, JSON, and XML

Requirements

• Python 3
• Boto3 library
• AWS credentials

Installation

1. Clone the repository to your local machine.
2. Install the required dependencies by running pip install -r requirements.txt.
3. Create a .env file and add your AWS credentials in the following format:

AWS_ACCESS_KEY_ID=<your_access_key_id>
AWS_SECRET_ACCESS_KEY=<your_secret_access_key>
AWS_REGION=<your_aws_region>

1. Customize the code for your specific use case.
2. Run the code using python main.py.

Usage

The main.py file is the entry point for the program. You can customize the code in this file to process and upload your data. Once you have customized the code, you can run the program using the command python main.py.

License

This repository is licensed under the MIT license. See LICENSE for details.