Written by experts in the field, this book addresses the IoT technology stack, from connectivity through data platforms to end-user case studies, and considers the tradeoffs between business needs and data security and privacy throughout. There is a particular emphasis on data processing technologies that enable the extraction of actionable insights from data to inform improved decision making. These include artificial intelligence techniques such as stream processing, deep learning and knowledge graphs, as well as data interoperability and the key aspects of privacy, security and trust.

Author: John Davies (Editor), Carolina Fortuna (Editor)
Publisher: Wiley
Date: June 2020
Pages: 240
ISBN: 978-1119545262
Print: 1119545269
Kindle: B085314CB5
Audience: IT and network specialists
Level: Intermediate
Category: Data Science 

• Provides a comprehensive overview of the Internet of Things technology stack with focus on data driven aspects from data modelling and processing to presentation for decision making
• Explains how IoT technology is applied in practice and the benefits being delivered.
• Acquaints readers that are new to the area with concepts, components, technologies, and verticals related to and enabled by IoT
• Gives IoT specialists a deeper insight into data and decision-making aspects as well as novel technologies and application areas
• Analyzes and presents important emerging technologies for the IoT arena
• Shows how different objects and devices can be connected to decision making processes at various levels of abstraction

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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