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.
1. Foundations of IoT and Big data 2. IoT technologies and architectures 3 .Big data architectures for IoT 4. Big data analytics for IoT 5. Machine learning models for sensory data analytics 6. Real time big data Analytics 7. Applications of Big data analytics in IoT 8. Security and privacy of IoT applications 9. Big data Quality Assessment in the IoT era 10. Cognitive IoT applications 11. Cloud/edge provisioning to support big data and IoT 12. Challenges of Big data an IoT 13. New trends in big data and IoT applications and solutions 14. Case studies of Big Data applications for IoT
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