Proposed DBMS for OTT platforms in line with new age requirements
Khushi Shah, Aryan Shah, Charmi Shah, Devansh Shah, Mustafa, Africawala, Rushabh Shah, Nishant Doshi

TL;DR
This paper proposes a new database management system tailored for OTT platforms, focusing on efficient data handling and new features to enhance user experience amid increased demand post-COVID-19.
Contribution
It introduces a novel DBMS design optimized for OTT platforms, incorporating new features for better data utilization and user service enhancement.
Findings
Improved data management reduces redundancy.
New query features enhance user experience.
Supports increased subscription demands.
Abstract
Database management has become an enormous tool for on-demand content distribution services, proffering required information and providing custom services to the user. Also plays a major role for the platforms to manage their data in such a way that data redundancy is minimized. This paper emphasizes improving the user experience for the platform by efficiently managing data. Keeping in mind all the new age requirements, especially after COVID-19 the sudden surge in subscription has led the stakeholders to try new things to lead the OTT market. Collection of shows being the root of the tree here, this paper improvises the currently existing branches via various tables and suggests some new features on how the data collected can be utilized for introducing new and much-required query results for the consumer.
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