Internet of Things and Data Analytics Handbook

Internet of Things and Data Analytics Handbook

作者: Hwaiyu Geng
出版社: Wiley
出版在: 2017-01-10
ISBN-13: 9781119173649
ISBN-10: 1119173647
裝訂格式: Hardcover
總頁數: 800 頁





內容描述


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 multi-million 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).




相關書籍

公職考試 2022 試題大補帖【資料處理(含資料處理概要)】(100~110年試題)(申論題型)[適用三等、四等/高考、普考、地方特考]

作者 百官網公職師資群

2017-01-10

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Paperback)

作者 Deborah Nolan Duncan Temple Lang

2017-01-10

寫給程式設計師的深度學習|使用 fastai 和 PyTorch (Deep Learning for Coders with fastai and PyTorch)

作者 Jeremy Howard Sylvain Gugger 賴屹民 譯

2017-01-10