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This project aims to harvest data from YouTube using Python scripting and store it in a NoSQL (MongoDB) database as a data lake.
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The harvested data can then be fetched from the NoSQL database and migrated to a SQL (PostgreSQL) database for further analysis. Additionally, SQL queries can be executed on the postgreSQL database to answer specific questions related to the uploaded channel information.
Prerequisites Before running the scripts, make sure you have the following dependencies installed:
Python 3.9 or later
MongoDB
PostgreSQL