Demystifying Big Data Analytics for Industries and Smart Societies

Keshav Kaushik*, Mamta Dahiya, Ashutosh Dhar Dwivedi

*Corresponding author for this work

Research output: Book/ReportBookResearchpeer-review

Abstract

This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics. Key Features: Comprehensive coverage of the fundamentals of big data analytics In-depth discussion of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems Practical examples and case studies to help readers understand complex concepts Coverage of the use of big data analytics in various industries, including healthcare, energy management, and agriculture Discussion of challenges and legal frameworks involved in big data analytics Clear and concise language that is easy to understand This book is a valuable resource for business owners, data analysts, students, and anyone interested in the field of big data analytics. It provides readers with the tools they need to leverage the power of big data and make informed decisions that can help their organizations succeed. Whether you are new to the field or an experienced practitioner, "Demystifying Big Data Analytics for Industries and Smart Societies" is must-read.

Original languageEnglish
PublisherCRC Press
Number of pages231
ISBN (Print)9781032361529, 9781032362304
ISBN (Electronic)9781000936889
DOIs
Publication statusPublished - 28 Sept 2023

Bibliographical note

Publisher Copyright:
© 2024 selection and editorial matter, Keshav Kaushik, Mamta Dahiya and Ashutosh Dhar Dwivedi. All rights reserved.

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