Querylizer: An Interactive Platform for Database Design and Text to SQL Conversion
Anushka Deshpande, Dhruv Kothari, Akash Salvi, Prajakta Mane, Vaishali L. Kolhe · 2022 International Conference for Advancement in Technology (ICONAT) · 2022
Every day, the world becomes more data-driven. Also, an enormous amount of data generated is managed by RDBMS in the form of Tables and SQL is the language that is used to manipulate it and perform the desired operations. Not all individuals have the required knowledge of SQL language to work on the databases. This paper proposes a system that will convert natural language statements into SQL queries. Natural Language Processing, which is a component of AI, will be used by the system. NLP gives the ability to a computer program to understand human language in both spoken and written form. Moreover, the visualization of any system makes it easier to comprehend. Focusing on the Low-Code revolution presently in the industry, a visualization software for database management is proposed.