This post was originally published on Pure Storage
Today’s internet of things (IoT) has come a long way from the “smart home.” We’re at a smart global infrastructure scale now, with millions of networked IoT devices. From smart cities and manufacturing to retail surveillance and data center sustainability, the IoT’s practicality is clear. What’s less practical, however, is the size of its dataset.
The IoT creates zettabytes of data around the clock. This data isn’t just big, it’s unstructured, which means storing it isn’t even the whole story—processing, mining, and analyzing it is the next big hurdle. It’s leaving many organizations scrambling to find the right storage and analytics solutions to stay ahead of its scale.
Here’s how organizations can leverage IoT data for more edge at the edge.
Why IoT Data Is Growing—in Scope and in Value
The IoT is made up of machines, systems, sensors, cameras, and other equipment that are networked with other machines and systems to share, store, and process data. These IoT devices can offer:
automated recommendations increased efficiency inventory tracking biometric scanning at security checkpoints fleet management systems that monitor driver speed and location public safety systems that keep a close watch in crowded areas and alert authorities to dangerous situations
— Read the rest of this post, which was originally published on Pure Storage.