In the previous chapter, we implemented I-IoT platforms based on open source, Amazon Web Services (AWS), Original Equipment Manufacturer (OEM), Google Cloud Platform (GCP), and Azure. We also introduced some important topics, including storage, time-series, microservices, protocols, and data processing. Of these, the latter is without a doubt the most valuable topic. General Electric (GE) has monitored aircraft engines and power generation systems for 15 years and claims that just a 1% improvement in efficiency can add $276 billion in profit to major industries. To support these claims, we need to learn from our data and build a new generation of analytics. In the previous chapter, we implemented a few simple analytics. In this chapter, we will discover the most important use cases for I-IoT analytics.
In this chapter, we will explore the following topics:
- I-IoT analytics
- The different classes of analytics
- Technologies related to I-IoT analytics
- Infrastructure
- Consuming data
- Open system architecture
We will also look at three examples to illustrate the preceding points.