These networks deliver the application's content to end users from multiple data centers around the world.
Published in Chapter:
Cloud Analytics: Introduction, Tools, Applications, Challenges, and Future Trends
Hari Kishan Kondaveeti (VIT-AP University, India),
Biswajit Biswal (South Carolina State University, USA),
Licia Saikia (VIT-AP University, India),
Udithaa Terala (VIT-AP University, India),
Sateesh Gorikapudi (VIT-AP University, India), and
Valli Kumari Vatsavayi (Andhra University, India)
Copyright: © 2024
|Pages: 15
DOI: 10.4018/979-8-3693-0900-1.ch013
Abstract
Cloud analytics is the process of using cloud computing resources and technologies to analyze and gain insights from large and complex data. Cloud analytics has become increasingly popular in recent years due to its scalability, cost-efficiency, and accessibility. It enables organizations to process large datasets, perform complex analytics, and make data-driven decisions more effectively and affordably. This book chapter provides a comprehensive overview of cloud analytics, covering its fundamental principles, significance in today's data-driven landscape, benefits and challenges of adoption, critical tools and technologies, data management in cloud environments, and promising future directions and emerging trends. By the end of this chapter, readers will have a deep understanding of cloud analytics and its potential to revolutionize the way organizations analyze and leverage data.