This repository presents research on SQL query optimization, exploring how different indexing strategies and PostgreSQL configurations impact query performance. The project, which earned second place at TCCD Research Day, provides insights into improving database efficiency.
QRLIT: Quantum Reinforcement Learning for Database Index Tuning
🌐 Created a New type called PersonName in PostgreSQL with 6 operations including <, >, <>, =, <=, >= for research purposes at UNSW and to experiment with the custom data type creation in postgreSQL creating the foundation for more rigourous, challenging and composite types.
This Dyte SDE-1 Assignment require the development of a robust log ingestor system and a user-friendly query interface. The goal is to efficiently handle large volumes of log data and provide a simple yet powerful interface for querying based on various parameters.
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Example for Database indexing using MySQL and Node JS application
In this Full-Stack Group Project, I worked on RDBMS aspects such as ER design, db population, DDL, DML, and Flask
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