Summary

In this chapter, you learned about IoT data analytics, and the true and ultimate business benefits of IoT technologies, which is getting data from the physical world to gain more insights and act upon that data. You also learned about traditional data analytics versus modern or advanced data analytics, and the different types of data analytics (descriptive, diagnostic, predictive, and prescriptive).

You also learned about the different building blocks of IoT data analytics solutions such as Lambda architecture, data lakes, batch and streaming data processing, query engines, different analytics data stores, visualization, data exploration tools, and technologies used in data analytics solutions.

You learned about the fully managed AWS IoT Analytics service, and how it works and integrates with other related AWS services such as AWS IoT Events and AWS IoT SiteWise.

In the next chapter, we will cover some of the architecture and design paradigms and concepts used in building...