Big data is a state-of-the-art technology that revolutionizes system design and decision-making. On the other hand, Hadoop is a distributed framework that allows the effective management of big data. This book combines theoretical and practical facets of big data technology. The first few chapters provide a theoretical introduction to big data and Hadoop, with individual chapters covering different components of the Hadoop ecosystem. The rest of the book provides lab tutorials, giving basic working knowledge of the different components and how they can synergistically be used to develop a big data application.

Key features of the book include:

It provides a background of the big data problem and introduces Hadoop in light of how it solves it.

It covers all the processes of the big data lifecycle and the different components of Hadoop that serve these processes.

It offers dedicated lab tutorials for installation and demonstration of the different components of the Hadoop ecosystem.

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