This .py file contains of four sections guided through Navigation panle: Home page,JSON DATA page,SQL_TABLE page,QUERIES page =>Home page initialize the process of fetching data from youtube API by user input of channel ID. =>JSON DATA page displays the data that stored in the Mongodb. =>SQL_TABLE page displays the channel table,playlist table,comments table and video table that stored in the Mysql. =>Queries page develop the relation between tables that supposed in the query.
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This project aims to develop a user-friendly Streamlit application that utilizes the Google API to extract information on a YouTube channel, stores it in a MongoDB database, migrates it to a SQL data warehouse, and enables users to search for channel details and join tables to view data in the Streamlit app.
CSRV547/DS_PROJECT_YOUTBE_DATA_HARVESTING_AND_WAREHOUSING
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This project aims to develop a user-friendly Streamlit application that utilizes the Google API to extract information on a YouTube channel, stores it in a MongoDB database, migrates it to a SQL data warehouse, and enables users to search for channel details and join tables to view data in the Streamlit app.
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