Cloud Computing Solutions for Big Data Challenges: A Review

  • William Jordon Department of Computer Science, University of Harvard
Keywords: Big Data, Cloud Computing, Data Storage, Data Processing, Data Analytics, Scalability, Cost-Efficiency, Security, Cloud Services, Case Studies, Data-driven Decision-Making, Data Management, Cloud Providers, Innovation, Competitiveness

Abstract

As the volume and complexity of data continue to grow exponentially, the challenges of processing, storing, and analyzing Big Data have become increasingly daunting. Cloud computing has emerged as a pivotal solution to address these challenges. This paper provides a comprehensive review of cloud computing solutions for Big Data challenges. It explores various cloud-based technologies and services that facilitate data storage, processing, and analytics at scale. Additionally, the paper examines the benefits and drawbacks of leveraging cloud computing for Big Data, emphasizing factors like scalability, cost-efficiency, and security. Real-world case studies and practical insights showcase how organizations are leveraging cloud solutions to gain a competitive edge in the era of data-driven decision-making. This review serves as a valuable resource for businesses and researchers seeking to harness the power of the cloud to tackle Big Data challenges.

Published
2022-03-11
How to Cite
William Jordon. (2022). Cloud Computing Solutions for Big Data Challenges: A Review. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 6(1), 25-38. Retrieved from https://ijcst.com.pk/index.php/IJCST/article/view/305