To date, many IoT architectures have been driven by expedience and technology rather than a careful understanding of the end goals. While this has allowed for rapid iteration, it’s also a recipe for disaster.
As the amount of IoT-generated data rapidly increases, selecting the optimal architecture for edge analytics becomes a critical operational and technical challenge—get it wrong and it could be the end of your business. While any full implementation of IoT analytics will require hundreds of decisions, there are three vital decisions—about time, volume and visibility—that fundamentally influence the optimal architecture for your business. Pursuing these decisions will link business needs with technical implementations, minimizing wasted effort and increasing the likelihood of success.
Read the entire guest post featured in the State of the Edge.