Kumar V. Naresh - Modern big data processing with Hadoop: expert techniques for architecting end-to-end big data solutions to get valuable insights

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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.

Sumit Pal is a published author with Apress. He has 22+ years of experience in software from startups to enterprises and is an independent consultant working with big data, data visualization, and data science. He builds end-to-end data-driven analytic systems.

He has worked for Microsoft (SQLServer), Oracle (OLAP Kernel), and Verizon. He advises clients on their data architectures and builds solutions in Spark and Scala. He has spoken at many conferences in North America and Europe and has developed a big data analyst training for Experfy. He has an MS and BS in computer science.

Manoj R. Patil is a big data architect at TatvaSoftan IT services and consulting firm. He has a bachelor's degree in engineering from COEP, Pune. He is a proven and highly skilled business intelligence professional with 18 years of experience in IT. He is a seasoned BI and big data consultant with exposure to all the leading platforms.

Earlier, he has served for organizations such as Tech Mahindra and Persistent Systems. Apart from authoring a book on Pentaho and big data, he has been an avid reviewer for different titles in the respective fields from Packt and other leading publishers.

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The complex structure of data these days requires sophisticated solutions for data transformation and its semantic representation to make information more accessible to users. Apache Hadoop, along with a host of other big data tools, empowers you to build such solutions with relative ease. This book lists some unique ideas and techniques that enable you to conquer different data processing and analytics challenges on your path to becoming an expert big data architect.

The book begins by quickly laying down the principles of enterprise data architecture and showing how they are related to the Apache Hadoop ecosystem. You will get a complete understanding of data life cycle management with Hadoop, followed by modeling structured and unstructured data in Hadoop. The book will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, as well as building efficient enterprise search solutions using tools such as Elasticsearch. You will build enterprise-grade analytics solutions on Hadoop and learn how to visualize your data using tools such as Tableau and Python.