Empowering Io T with Big Data Analytics provides comprehensive coverage of major topics, tools, and techniques related to empowering Io T 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 Io T applications and second, a better deployment of Io T applications on the ground. This book covers big data in the Io T era, its application domains, current state-of-the-art in big data and Io T technologies, standards, platforms, and solutions. This book provides a holistic view of the big data value-chain for Io T, 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 (Io T) 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. – Introduces fundamental concepts of big data analytics and their applications to Io T- Helps readers learn to leverage big data storage, processing and analysis tools, and techniques to promote Io T applications for better decision-making- Explores federated learning in big data to ensure data privacy and handle data heterogeneity
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