Big Data's Evolution: From Storage to Cloud-Driven Insights

Baber Azam

Baber Azam Department of Computer Science, University of Cambridge

Keywords: Big Data, Cloud Computing, Data Warehousing, Hadoop, Distributed Computing, Machine Learning, Artificial Intelligence, Data-driven Decision-Making, Data Privacy, Serverless Computing, Innovation, Competitiveness, Technology Evolution, Insights, Transformation

Abstract

The evolution of Big Data has been a transformative journey from mere storage of vast datasets to the era of cloud-driven insights. This paper delves into the key milestones and technological shifts that have shaped Big Data's evolution. It explores how traditional data warehousing gave way to distributed computing paradigms like Hadoop, and subsequently, how the cloud computing revolution redefined the landscape. The paper also discusses the critical role of machine learning and AI in extracting actionable insights from Big Data, ushering in an era of data-driven decision-making. Furthermore, it examines the challenges and opportunities presented by this evolution, including data privacy concerns and the rise of serverless computing. Overall, this paper provides a comprehensive overview of Big Data's journey, highlighting its current state as a catalyst for innovation and competitiveness in various industries.