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

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.