https://github.com/anirudh1905/telecom-churn-prediction

The architecture is designed to handle large volumes of data, ensure low latency, and facilitate both ETL (Extract, Transform, Load) and ML (Machine Learning) pipelines.
https://github.com/anirudh1905/telecom-churn-prediction

airflow aws eks github-actions kafka kubernetes lambda postgresql redis sagemaker sqs terraform

Last synced: 3 months ago
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The architecture is designed to handle large volumes of data, ensure low latency, and facilitate both ETL (Extract, Transform, Load) and ML (Machine Learning) pipelines.

• Host: GitHub
• URL: https://github.com/anirudh1905/telecom-churn-prediction
• Owner: Anirudh1905
• Created: 2024-08-20T09:11:43.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-09-04T17:57:36.000Z (5 months ago)
• Last Synced: 2024-10-11T04:40:15.040Z (3 months ago)
• Topics: airflow, aws, eks, github-actions, kafka, kubernetes, lambda, postgresql, redis, sagemaker, sqs, terraform
• Language: Python
• Homepage:
• Size: 3.71 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Telecom-Churn-Prediction

The architecture is designed to handle large volumes of data, ensure low latency, and facilitate both ETL (Extract, Transform, Load) and ML (Machine Learning) pipelines. 

To know more details reagrding the project, kindly refer to this Medium [blog](https://medium.com/@anirudhsridhar1905/data-pipeline-etl-11490accfae3).

## Low Level Design

![LLD](Designs/LLD.png)

## High Level Design

![HLD](Designs/HLD.png)