Beyond Hadoop: Next-Generation Big Data Architectures for Enterprise Analytics

Author(s)	Ramesh Betha
Country	United States
Abstract	As data volumes continue to grow exponentially across industries, organizations are finding that traditional Hadoop-based architectures are reaching their limits in addressing modern enterprise analytics requirements. This paper examines the evolution beyond Hadoop toward next-generation big data architectures that emphasize real-time processing, cloud-native deployments, and integrated analytics ecosystems. We analyze emerging architectural patterns, technology stacks, and implementation considerations that define the post-Hadoop era. Through examination of industry case studies and technological trends, we provide a framework for enterprises to evaluate and implement these next-generation architectures to meet their evolving analytics needs.
Keywords	Big Data Architecture, Cloud Computing, Stream Processing, Data Lakes, Enterprise Analytics, Hadoop Alternatives
Field	Engineering
Published In	Volume 10, Issue 1, January-March 2019
Published On	2019-03-05
DOI	https://doi.org/10.71097/IJSAT.v10.i1.2818
Short DOI	https://doi.org/g899d5

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology