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
Cite This	Beyond Hadoop: Next-Generation Big Data Architectures for Enterprise Analytics - Ramesh Betha - IJSAT Volume 10, Issue 1, January-March 2019. DOI 10.71097/IJSAT.v10.i1.2818
DOI	https://doi.org/10.71097/IJSAT.v10.i1.2818
Short DOI	https://doi.org/g899d5

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