MAIN ASPECTS OF DATABASES IN THE DEVELOPMENT OF KPI WEB APPLICATION

Abstract

This article examines the critical aspects of databases in the development of Key Performance Indicator (KPI) web applications. It highlights the importance of choosing the right database management system (DBMS) and explores various database models and structures that support effective KPI tracking and analysis. The article delves into data normalization, indexing, and querying optimization, as well as discusses the role of database security and scalability in ensuring robust and reliable KPI applications. It also addresses the integration of real-time data processing and the importance of data visualization tools. By addressing these aspects, the article aims to provide practical insights for developers and organizations to build efficient and secure KPI web applications