Big Data Analytics for Internet of Things

Big Data Analytics for Internet of Things provides a comprehensive overview of big data analytics in IoT systems, including enabling technologies, types of analytics, challenges, demand, computing platforms, analytical tools, privacy, and security. It also offers practical strategies with concrete applications for data analysts and IoT professionals, as well as an introduction to the Internet of Things and the intersection between IoT and Big Data.

Format: Hardback
Length: 400 pages
Publication date: 24 June 2021
Publisher: John Wiley and Sons Ltd

Big Data Analytics for the Internet of Things is a comprehensive resource that delves into the latest developments in this rapidly evolving field. Authored by esteemed experts and emerging leaders, the book offers a thorough exploration of all aspects of big data analytics in IoT systems.

The book begins by providing a comprehensive overview of the enabling technologies of IoT data analytics, including sensors, networks, and cloud computing. It then delves into the various types of IoT data analytics, such as predictive, descriptive, and prescriptive analytics, and discusses the challenges and opportunities associated with each.

Furthermore, the book addresses the demand for IoT data analytics, the computing platforms required for its implementation, and the analytical tools and techniques employed. It also explores the important issues of privacy and security in IoT systems and provides insights into best practices for ensuring data protection.

To enhance the practical value of the book, the distinguished editors have included resources that address key techniques in the analysis of IoT data. These techniques include machine learning, data mining, and natural language processing, among others. The book demonstrates how these techniques can be applied to unearth valuable insights from IoT data and offers novel designs for IoT systems.

In addition to its technical content, Big Data Analytics for the Internet of Things provides readers with a comprehensive introduction to the Internet of Things, including its architectures, enabling technologies, and applications. It also explores the intersection between the Internet of Things and Big Data, discussing how IoT can serve as a source of Big Data and the unique characteristics of IoT data that require specialized analytical approaches.

The book is designed to cater to a wide range of audiences, including professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems. It will also be valuable to IoT designers and manufacturers who are interested in facilitating the seamless integration of big data analytics into their products and services.

With its comprehensive coverage, practical insights, and authoritative contributions, Big Data Analytics for the Internet of Things is an essential resource for anyone seeking to stay ahead of the curve in this rapidly evolving field.

Weight: 758g
Dimension: 241 x 160 x 23 (mm)
ISBN-13: 9781119740759