Summary
In this chapter, we have covered the fundamentals of data analytics within IoT workloads, discussing how different services within AWS can handle analysis and storage loads that are required as part of our IoT cloud workflow. We then learned more about how we can design and develop the implementation of our architecture according to our use case and learned how to practically use the offerings from AWS IoT Analytics to provision an end-to-end data pipeline.
In the next chapter, we will be discussing security and privacy within IoT, which is an imperative topic to talk about, given how it has become even more prevalent as more and more people have shifted their workloads into the cloud.
