この電子書籍について
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.
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.
著者について
Samiya Khan is a research fellow at the University of Wolverhampton, United Kingdom. She is an alumna of the University of Delhi, India, and did her PhD in Computer Science from Jamia Millia Islamia, India. Before joining the University of Wolverhampton, Samiya also briefly served as faculty at Jamia Millia Islamia teaching subjects such as Big Data Analytics and Innovative Technologies for Startups. As an active researcher, she has contributed several research papers, and her publications extend across journal articles, conference papers, book chapters and edited books in high-impact publications of international repute. Khan’s expertise spans data science, artificial intelligence, edge computing, Internet of Things (IoT) and development of heterogeneous systems. Her current research focuses on using artificial intelligence for IoT applications.
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