Internet of Things and Data Analytics Handbook Hardback - - 1st Edition
by Hwaiyu Geng (Editor)
- New
- Hardback
Standard delivery: 9 to 14 days
Details
- Title Internet of Things and Data Analytics Handbook
- Author Hwaiyu Geng (Editor)
- Binding Hardback
- Edition number 1st
- Edition 1
- Condition New
- Pages 816
- Volumes 1
- Language ENG
- Publisher John Wiley & Sons
- Publication date pp. 600
- Features Bibliography, Index
- Bookseller's Inventory # 6373316467
- ISBN 9781119173649 / 1119173647
- Weight 2.8 lbs (1.27 kg)
- Dimensions 9.3 x 6.3 x 1.6 in (23.62 x 16.00 x 4.06 cm)
- Category Technology & Industrial Arts
- Library of Congress subjects Data mining, Internet of things
- Library of Congress Catalogue Number 2016039867
- Dewey Decimal Code 004.678
- Quantity available 3
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From the publisher
From the rear cover
This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.
Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and future applications and transformations, and business models. The text also addresses big data analytics, machine learning, cloud computing, and consideration of sustainability that are essential to be both socially responsible and successful. Design and implementation processes are illustrated with best practices and case studies in action. In addition, the book:
- Examines cloud computing, data analytics, and sustainability and how they relate to IoT
- Covers the scope of consumer, government, and enterprise applications
- Includes best practices, business model, and real-world case studies