Demystifying Big Data Analytics for Industries and Smart SocietiesКНИГИ » ОС И БД
Название: Demystifying Big Data Analytics for Industries and Smart Societies Автор: Keshav Kaushik, Mamta Dahiya, Ashutosh Dhar Dwivedi Издательство: CRC Press Год: 2024 Страниц: 247 Язык: английский Формат: pdf (true) Размер: 12.3 MB
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.
In today’s digital age, data has become the most valuable asset for businesses and societies. The increasing digitization of processes and the rise of the Internet of Things (IoT) have led to an exponential growth in the amount of data being generated. This data holds valuable insights that can help businesses make better decisions, optimize processes, and improve customer experiences. However, managing and analyzing this massive amount of data can be overwhelming, especially for those who are new to the field of Big Data analytics.
This book, Demystifying Big Data Analytics for Industries and Smart Societies, is a comprehensive guide that explains the fundamentals of Big Data analytics, and its applications in various industries and societies. This book is divided into several parts, each covering a specific aspect of 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.
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