Cloud-based data analytics for scalable and efficient data processing: A review

Abstract

Cloud-based analytics has emerged as a transformative solution for organisations seeking to harness large-scale data processing capabilities. The ability to store, process, and analyse vast datasets on demand has revolutionised how businesses, research institutions, and governments operate. This review examines the core components, benefits, challenges, and applications of cloud-based data analytics. We analyze the integration of cloud computing technologies with data processing frameworks, exploring the scalability, cost-effectiveness, and flexibility that cloud solutions provide. Additionally, we highlight the major concerns surrounding security, privacy, and cost management, while also reviewing best practices for optimizing cloud-based analytics. The paper concludes by discussing future directions and the potential for continuous innovation in cloud-based data analytics systems.