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YouTube Data Harvesting and Warehousing using SQL,Mongo DBand Streamlit

Asvanya V

The YouTube Data Harvesting and Warehousing project aims to collect, store, and analyze data from YouTube using SQL and MongoDB databases, and create a user-friendly interface using Streamlit for data visualization and exploration.

*Technologies Used:*

The following technologies are used in this project:

Python:The programming language used for building the application and scripting tasks.

Pandas: A data manipulation library used for data processing and analysis.

YouTube API:Google API is used to retrieve channel and video data from YouTube.

MongoDB:A NoSQL database used as a data lake for storing retrieved YouTube data.

SQL (PostgreSQL): A relational database used as a data warehouse for storing migrated YouTube data.

Streamlit:A Python library used for creating interactive web applications and data visualizations.

YouTube Data Harvesting and Warehousing using SQL,Mongo DBand Streamlit | Knoovi