Roman99
2019-01-17, 07:50 AM
Hwaiyu Geng, "Internet of Things and Data Analytics Handbook"
English | 2017 | ISBN: 9781119173649 | 1178 pages | PDF(conv)+EPUB | 50.6 MB
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
https://turbobit.net/upoeoxlrj0xg.html
or
https://upload4earn.org/5e18grv8dv8u
English | 2017 | ISBN: 9781119173649 | 1178 pages | PDF(conv)+EPUB | 50.6 MB
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
https://turbobit.net/upoeoxlrj0xg.html
or
https://upload4earn.org/5e18grv8dv8u