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The Four Stages of IoT: A Data-Centric Taxonomy of the IoT

carlosaln profile image Carlos Lemus ・1 min read

This article was originally posted on my website's blog.

The Internet of Things (IoT) isn’t new. It is now a subject with a myriad of books written about it, new exciting college electives, and a generous assortment of products that have spectacularly succeeded or failed. As such, members of the tech community naturally have devised comprehensive, high-level taxonomies of IoT ecosystems.

These usually focus on smart devices and how they, when connected to a network or the Internet, can publish their data to a remote server or cloud provider. What happens to the data from there on is often reduced to a nondescript label of “data analytics.” However, the modern value of IoT is not merely remote data acquisition (we’ve had that for decades): it is the availability of insights about a massive amount of data over an extended time period.

Because of that, in this blog series I'm titling "The Four Stages of IoT," I will advocate for a data-centric taxonomy of the IoT. I will explore how edge and cloud computing are used in tandem today to extract large-scale, powerful, value-generating insights. With data as the epicenter, I will show you, through examples, how to dissect and understand an IoT ecosystem in four stages: connectivity, processing, storage, and access.

Four Stages of IoT illustration

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