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Internet of Things and Data Analytics Handbook
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business account Hardcover: 800 pages Publisher: Wiley; 1 edition (January 10, 2017) Language: English
ISBN-10: 9781119173649 ISBN-13: 978-1119173649 ASIN: 1119173647 Product Dimensions: 6.3 x 1.8 x
9.4 inches
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Book Description
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 overs the scope of consumer, government, and enterprise applications Includes best
practices, business model, and real-world case studies Hwaiyu Geng, P.E., is a consultant with
Amica Research (www.AmicaResearch.org, Palo Alto, California), promoting green planning,
design, and construction projects. He has had over 40 years of manufacturing and management
experience, working with Westinghouse, Applied Materials, Hewlett Packard, and Intel on multimillion
high-tech projects. He has written and presented numerous technical papers at
international conferences. Mr. Geng, a patent holder, is also the editor/author of Data Center
Handbook (Wiley, 2015).
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