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Due to the increasing availability of affordable internet services,
the number of users, and the need for a wider range of
multimedia-based applications, internet usage is on the rise. With
so many users and such a large amount of data, the requirements of
analyzing large data sets leads to the need for further
advancements to information processing. Big Data Processing with
Hadoop is an essential reference source that discusses possible
solutions for millions of users working with a variety of data
applications, who expect fast turnaround responses, but encounter
issues with processing data at the rate it comes in. Featuring
research on topics such as market basket analytics, scheduler load
simulator, and writing YARN applications, this book is ideally
designed for IoT professionals, students, and engineers seeking
coverage on many of the real-world challenges regarding big data.
Due to the increasing availability of affordable internet services,
the number of users, and the need for a wider range of
multimedia-based applications, internet usage is on the rise. With
so many users and such a large amount of data, the requirements of
analyzing large data sets leads to the need for further
advancements to information processing. Big Data Processing With
Hadoop is an essential reference source that discusses possible
solutions for millions of users working with a variety of data
applications, who expect fast turnaround responses, but encounter
issues with processing data at the rate it comes in. Featuring
research on topics such as market basket analytics, scheduler load
simulator, and writing YARN applications, this book is ideally
designed for IoT professionals, students, and engineers seeking
coverage on many of the real-world challenges regarding big data.
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