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Book synopsis

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. From a broad perspective, data must be collected, transmitted, stored, processed, and analyzed to gain insightful details and support sound decisions. Many obstacles could undermine completion of these stages requiring immediate diagnosis by experts such as pre and post processing of big data, integration and storage, as well as assessing trade-offs between various other challenges. 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 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 will provide a holistic view of the big data value-chain for IoT including storage, processing, protection, distribution, analytics, and visualization. Introduces fundamental concepts of big data analytics and their applications to IoTHelps readers learn to leverage big data storage, processing and analysis tools and techniques to promote IoT applications for better decision-makingExplores federated learning in big data to ensure data privacy and handle data heterogeneity

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Empowering IoT with Big Data Analytics
• Author: Mohamed Adel Serhani, Yang Xu, Zakaria Maamar
• Language: English
• Binding: Paperback
• Number of pages: 300
• EAN: 9780443216404
• ISBN: 0443216401
• ID: 44597384
• Date of publishing: 01. August 2024

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