ON-PREMISE BIG DATA INFRASTRUCTURE: MAXIMIZING DATA SOVEREIGNTY AND PERFORMANCE
Keywords:
On-premise Infrastructure, Data Sovereignty, Hadoop Ecosystem, Data Governance, Enterprise SecurityAbstract
This article explores the evolving landscape of on-premise big data infrastructure, focusing on the crucial balance between data sovereignty and performance optimization. It examines the transformation of data processing capabilities from traditional batch systems to modern real-time frameworks, highlighting the growing importance of data governance in an increasingly regulated environment. The article investigates core infrastructure components, particularly the Hadoop ecosystem and Cloudera enterprise features while analyzing comprehensive data governance and security frameworks essential for modern enterprises. The article delves into implementation and scaling strategies, examining technical requirements and cost implications for organizations deploying on-premise solutions. The article analyzes industry applications across financial services, healthcare, and government sectors and demonstrates the practical impact of on-premise big data solutions on operational efficiency and regulatory compliance. The article concludes by exploring future trends and best practices, emphasizing the emergence of hybrid architectures and artificial intelligence in infrastructure management while providing insights into the evolution of data management practices in response to changing regulatory landscapes.
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Copyright (c) 2025 Bharath Nagamalla (Author)
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