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Modern Big Data Processing with Hadoop
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Table of Contents

Table of Contents Hadoop Design Consideration Hadoop Life Cycle Management Data Modeling in Hadoop Designing Streaming Data Pipelines Building Enterprise Search Platform Data Movement Techniques Enterprise Data Architecture Principles Architecting Large Scale Data Processing Solutions using Spark Developing Application using Cloud Infrastructure Designing Data Visualization Solutions Production Hadoop Administration and Cluster Deployment

About the Author

V. Naresh Kumar has more than a decade of professional experience in designing, implementing, and running very-large-scale Internet applications in Fortune 500 Companies. He is a full-stack architect with hands-on experience in e-commerce, web hosting, healthcare, big data, analytics, data streaming, advertising, and databases. He admires open source and contributes to it actively. He keeps himself updated with emerging technologies from Linux systems internals to frontend technologies. He studied in BITS- Pilani, Rajasthan, with a dual degree in computer science and economics. Prashant Shindgikar is an accomplished big data Architect with over 20 years of experience in data analytics. He specializes in data innovation and resolving data challenges for major retail brands. He is a hands-on architect having an innovative approach to solving data problems. He provides thought leadership and pursues strategies for engagements with the senior executives on innovation in data processing and analytics. He presently works for a large USA-based retail company.

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