This book is presents academic and practical research in IoT and big data. With contributions from both practitioners and academic researchers, the book examines new technology and compares it to existing technology. Experimental case studies are related to real-time scenarios.

Dr. Pethuru Raj Chelliah has been working as the chief architect in the Site Reliability Engineering (SRE) division of Reliance Jio Infocomm Ltd. (RJIL), Bangalore, India. He has more than 17 years of IT industry experience and 8 years of research experience.

Dr. T. Poongodi completed a Ph.D. at Anna University, Chennai and currently is working as an Assistant Professor in Galgotias University, Greater Noida, Uttar Pradesh, India. She has 12 years of teaching experience in the field of computer science. Her area of interest lies in the field of Internet of Things, Big data, Networking. She has published more than 10 international journals and contributed book chapters.

Dr. Balamurugan Balusamy completed a Ph.D at VIT University, Vellore and is currently a Professor in Galgotias University, Greater Noida, Uttar Pradesh, India. He has 15 years of teaching experience in the field of computer science. Her areas of interest lie in the field of Internet of Things, Big data, networking. He has published more than 100 international journals papers and contributed book chapters.

Dr. Manju Khari completed a Ph.D. at NIT, Patna, and currently working as Assistant Professor in Ambedkar Institute of Advanced Communication Technologies & Research, Delhi. He has 13 years of teaching experience in the field of computer science. His area of interest lies in the field of Internet of Things, Big data, networking. He has published more than 25 international journals papers and contributed book chapters.

1. Taxonomy of Big Data and Analytics Solutions for Internet of Things. 2. Big Data Preparation and Exploration. 3. Emerging IoT-Big Data Platform Oriented Technologies. 4. IoT-Big Data Systems (IoTBDSs) Enabling Technologies Ubiquitous wireless Communication, Real-Time Analytics, Machine Learning, Deep Learning, Commodity Sensors. 5. Distinctive Attributes of Big Data Platform and Big Data Analytics Software for IoT. 6. Big Data Architecture for IoT. 7. Algorithms for Big Data Delivery over Internet of Things. 8. Big Data Storage Systems for IoT - Perspectives and Challenges. 9. Key Technologies Enabling Big Data Analytics for IoT. 10. Internet of Things (IoT) and Big Data: Data Management, Analytics, Visualization and Decision Making. 11. Big Data Programming Models for IoT Data. 12. IoTBDs Applications: Smart Transportation, Smart Healthcare, Smart Grid, Smart Inventory System, Smart Cities, Smart Manufacturing, Smart Retail, Smart Agriculture, Ect. 13. Big Data Management Solutions for IoT:Case Study - Connected Car.