Chapter 6: Processing and Consuming Data on the Cloud

The value proposition of edge computing is to process data closer to the source and deliver intelligent near real-time responsiveness for different kinds of applications across different use cases. Additionally, edge computing reduces the amount of data that is required to be transferred to the cloud, thus saving on network bandwidth costs. Often, high-performance edge applications require local compute, local storage, network, data analytics, and machine learning capabilities to process high-fidelity data in low latencies. Although AWS IoT Greengrass allows you to run sophisticated edge applications on devices and gateways, it will be resource-constrained compared to the horsepower from the cloud. Therefore, for different use cases, it's quite common to leverage the scale of cloud computing for high-volume complex data processing needs.

In the previous chapter, you learned about the different design patterns around data...