Internet-of-Things (IoT) Analytics are an integral element of most IoT applications, as it provides the means to extract knowledge, drive actuation services and optimize decision making. IoT analytics will be a major contributor to IoT business value in the coming years, as it will enable organizations to process and fully leverage large amounts of IoT data, which are nowadays largely underutilized.

The Building Blocks of IoT Analytics is devoted to the presentation the main technology building blocks that comprise advanced IoT analytics systems. It introduces IoT analytics as a special case of BigData analytics and accordingly presents leading edge technologies that can be deployed in order to successfully confront the main challenges of IoT analytics applications. Special emphasis is paid in the presentation of technologies for IoT streaming and semantic interoperability across diverse IoT streams. Furthermore, the role of cloud computing and BigData technologies in IoT analytics are presented, along with practical tools for implementing, deploying and operating non-trivial IoT applications. Along with the main building blocks of IoT analytics systems and applications, the book presents a series of practical applications, which illustrate the use of these technologies in the scope of pragmatic applications.

Technical topics discussed in the book include:

• Cloud Computing and BigData for IoT analytics
• Searching the Internet of Things
• Development Tools for IoT Analytics Applications
• IoT Analytics-as-a-Service
• Semantic Modelling and Reasoning for IoT Analytics
• IoT analytics for Smart Buildings
• IoT analytics for Smart Cities
• Operationalization of IoT analytics
• Ethical aspects of IoT analytics

Internet-of-things, Cloud Computing, BigData, IoT Analytics, IoT Streaming, Semantic Interoperability, Semantic Reasoning, Smart Buildings, Smart Cities, Ethics

Chapter 1
Introducing IoT Analytics
by John Soldatos
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