Distributed Database Systems for Large-Scale Data Management

Abstract

Distributed database systems are essential to modern computing. Such infrastructures offer scalability, speed, fault tolerance, and security, enabling applications to analyse massive data volumes in real time. Some of the difficulties in designing and maintaining a distributed database system include data consistency, performance, security, scalability, complexity, and cost. A distributed database system must be carefully planned, constructed, and managed in order to address these problems. It also has to be constantly monitored and maintained in order to provide the highest levels of performance and security. Distributed databases provide a wide range of applications in these fields and more, despite the difficulties posed by sectors like e-commerce, social networking, healthcare, the Internet of Things (IoT), online gaming, financial services, and logistics. Distributed database systems will become more and more crucial in allowing real-time data processing and analytics as well as aiding the creation of new applications and services as the volume and complexity of data keep rising. In today's computer applications, the benefits of using a distributed database system for managing and analysing massive amounts of data far outweigh the drawbacks.