Database schema features for evaluative survey information systems

Author: Nino Lagvilava
Keywords: Database Schema, Evaluative Survey, Information Systems, Performance Optimization, Scalability, Reliability, Schema Design, Database Management, System Efficiency, Survey Data
Annotation:

This thesis examines the key features of database schemas designed for evaluative survey information systems. It aims to enhance performance, scalability, and reliability. The study analyzes current schema designs, identifies challenges, and proposes optimizations. The main findings reveal critical schema features that improve system efficiency, offering practical guidelines for developers and database administrators. The research is novel in its focused approach to optimizing schemas for evaluative surveys.