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etlcovid19project's Introduction

#CloudGuruChallenge - Event-Driven Python on AWS โ˜๏ธ

AWS Challenge by A Cloud Guru

Challenge Link ๐Ÿ”—

Cloud Guru Challenge

Challenge Goal ๐Ÿฅ…

Automate an ETL processing pipeline for COVID-19 data using Python and AWS Cloud Services

Project Architecture ๐Ÿ”ง

The following image displays the entire architecture developed using THE SERVERLESS FRAMEWORK

Architecture

Tech Stack ๐Ÿ‘ท

The following tech stacks were used:

  1. Python
  2. AWS
  3. The Serverless Framework
  4. Github

Services ๐Ÿšš

The following AWS Services are used for this project:

  1. S3 Bucket
  2. Glue Crawler
  3. Glue Database
  4. IAM Roles
  5. DynamoDB Table
  6. Cloudwatch Event Rule
  7. Lambda Function
  8. Cloudwatch Logs
  9. SNS Subscription
  10. SNS Topic

Tests ๐Ÿ› ๏ธ

Used Python's built-in module, Unittest, to perform some simple tests, to ensure that the code can handle unexpected situations and subsitute invalid data.

Test

SNS Email ๐Ÿ“ง

Depending on the result of the process, a notification will be sent out to all the subscribers through AWS SNS

SNS_EMAIL

QuickSight Dashboard ๐Ÿ†

Dashboard developed using Quicksight and Data retrived from Athena

QuickSight Dashboard

Blog Link! ๐Ÿ“–

https://mohdsaquib.hashnode.dev/event-driven-covid-19-data-etl-process-acloudguruchallenge

Got Questions? โ“

Feel free to email me at [email protected]

etlcovid19project's People

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