STM Journals Peer-reviewed research from Consortium e-Learning Network

Recent Trends in Parallel Computing

The Future of Multi-cloud Infrastructures in Data Engineering for Challenge of Handling Large and Dynamic Datasets

  1. Bhuvnesh Pathania

Abstract

This paper explores the future of multi-cloud infrastructures in data engineering for the challenge of handling large and dynamic datasets. It delves into the opportunities and challenges presented by multi-clouds, focusing on their role in managing large volumes of data and complex computational tasks. The paper discusses the advantages of multi-clouds, such as manageability, flexibility, and cost-effectiveness, and their potential to enhance the efficiency and accuracy of recommender systems. It also addresses the challenges associated with implementing multi-clouds, including data privacy, resource management, and compatibility issues. The paper concludes by highlighting the promising future of hybrid cloud infrastructures in driving significant advancements in data engineering and their potential impact on various sectors.

Keywords

Support