My name is Carlos Lemus: I am an engineer concentrating on the integration of Internet of Things devices with the AWS Cloud. This site hosts some of my insights and ideas about the topic as well as miscellaneous tidbits that I believe could be beneficial to the tech community. I work for Trek10: an advanced AWS consulting partner focusing on Serverless and IoT Architectures.
Opinions expressed on this site and social media are my own.
This is the third post in the series The Four Stages of IoT: A Data-Centric Taxonomy of the IoT
Previously, we discussed the connectivity stage, which explored how devices establish a connection with edge devices or the ecosystem backend. Today, we will go one layer deeper and focus on what we do with the data after establishing a reliable connection. I refer to this as the Data Processing Stage.
This is the second post in the series The Four Stages of IoT: A Data-Centric Taxonomy of the IoT
In my previous post, I discussed the idea of dividing IoT Architectures into four stages: connectivity, processing, storage, and data access. Today we will explore the Connectivity Stage which is the first step in the journey towards value-generation from IoT Device Data. This stage is composed of the mechanisms whose purpose is to facilitate communications to and from IoT devices: these include services, applications, and communication protocols.
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.