Big-Data Analytics for Cloud, IoT and Cognitive Computing
Kai Hwang
The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies
The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming.
Part 1 focuses on data science, the roles of clouds and ... Read more
- The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies
- Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs
- Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies
- Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning
- Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT
Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.
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About Kai Hwang
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