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@article{170051,
        author = {B. Swathika Layashree and P. Santhoshi and N. Vishal and J.S. Sunilkumar and S. Sampreetha},
        title = {Instagram Database Cloning with SQL},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {3360-3365},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170051},
        abstract = {This paper presents a sentiment analysis project to explore the process of cloning the database schema of Instagram using SQL. The aim is to understand the underlying structure and relationships of Instagram's data model through SQL queries and database manipulation techniques. By examining tables such as Users, Posts, Comments, Likes, and Followers, we gain insights into how a social media platform handles user-generated content, interactions, and relationships. The project involves schema design, data extraction, transformation, and loading (ETL) processes, enabling a deeper comprehension of relational databases in the context of a popular social networking service. Through this exploration, we aim to replicate essential functionalities of Instagram's database and provide a foundation for further study and analysis in the field of database management and application development.},
        keywords = {},
        month = {November},
        }