Efficient YouTube data harvesting and warehousing with Python, SQL, MongoDB, and Streamlit, enabling seamless analysis and visualization for insightful decision-making in content management and audience engagement strategies
YouTube Data Harvesting and Warehousing using SQL, MongoDB and Streamlit
This project enables users to fetch data from YouTube by utilizing the YouTube Data API key. The retrieved data is then stored in a MySQL database. Subsequently, the stored data is analyzed and presented in a Streamlit web application using Pandas DataFrame.
Space Exploration Data Fusion : Unleashing the International Space Station Insights with MongoDB and SQL Integration
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