Empowering IoT with big data analytics

Contributor(s):

Material type: Text

TextSeries: Intelligent Data-Centric SystemsPublication details: Academic Press London 2025Description: xxiii, 365 pISBN:

9780443216404

Subject(s):

DDC classification:

005.7 SER

Summary: Empowering IoT with Big Data Analytics provides comprehensive coverage of major topics, tools, and techniques related to empowering IoT with big data technologies and big data analytics solutions, thus allowing for better processing, analysis, protection, distribution, and visualization of data for the benefit of IoT applications and second, a better deployment of IoT applications on the ground. This book covers big data in the IoT era, its application domains, current state-of-the-art in big data and IoT technologies, standards, platforms, and solutions. This book provides a holistic view of the big data value-chain for IoT, including storage, processing, protection, distribution, analytics, and visualization. Big data is a multi-disciplinary topic involving handling intensive, continuous, and heterogeneous data retrieved from different sources including sensors, social media, and embedded systems. The emergence of Internet of Things (IoT) and its application to many domains has led to the generation of huge amounts of both structured and unstructured data often referred to as big data. (https://shop.elsevier.com/books/empowering-iot-with-big-data-analytics/serhani/978-0-443-21640-4)

List(s) this item appears in: Big Data Analytics

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	005.7 SER (Browse shelf(Opens below))	1	Available		008834

Table of contents:

1. Introduction: Foundations of IoT and Big data

2. Big Data Analytics for IoT: Technologies, Importance, and Algorithms

3. Machine learning models for sensory data analytics

4. Applications of Big data analytics in IoT

5. Security and privacy of IoT applications

6. Big data Quality Assessment in the IoT era

7. Cloud/edge provisioning to support big data and IoT

8. Blockchain and AI: A Dual Strategy for IoT security

9. Networks and Implementation tools for IoT and Big Data.

10. IoT for Critical Big data Applications

11. Case studies of Big Data applications for IoT

12. New trends in big data and IoT applications and solutions

13. Exploring the Convergence of IoT and Big Data Technologies in the Age of Generative Artificial Intelligence

Empowering IoT with Big Data Analytics provides comprehensive coverage of major topics, tools, and techniques related to empowering IoT with big data technologies and big data analytics solutions, thus allowing for better processing, analysis, protection, distribution, and visualization of data for the benefit of IoT applications and second, a better deployment of IoT applications on the ground. This book covers big data in the IoT era, its application domains, current state-of-the-art in big data and IoT technologies, standards, platforms, and solutions. This book provides a holistic view of the big data value-chain for IoT, including storage, processing, protection, distribution, analytics, and visualization.

Big data is a multi-disciplinary topic involving handling intensive, continuous, and heterogeneous data retrieved from different sources including sensors, social media, and embedded systems. The emergence of Internet of Things (IoT) and its application to many domains has led to the generation of huge amounts of both structured and unstructured data often referred to as big data.

(https://shop.elsevier.com/books/empowering-iot-with-big-data-analytics/serhani/978-0-443-21640-4)

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