How IoT Data Gets Generated

IoT devices collect a multitude of data points in real time (or near-real time). This data can inform a number of operations, whether they occur autonomously (such as IoT-based traffic light control) or manually (like airport management rerouting foot traffic from a congested area). IoT sensors can gather multiple types of data, such as: Status data : Collects basic information like off/on and available/unavailable or other exact data like temperature Location data : Tracks the movement of people or objects above, on, or below the earth��s surface Automation data : Can be used to control the actions of automated operations or systems like an autonomous bus route Once sensors collect the data, they send it to a central location using a data protocol.

What��s Making IoT Data Big

Because IoT sensors gather either real-time or near-real-time data, the amount of information they generate is massive. In fact, the International Data Corporation (IDC) projects that by 2025, there will be 55.7 billion IoT devices in use generating 73.1 zettabytes of data. This results in IoT big data��and it has the potential to overwhelm traditional data processing and management tools. Typically, IoT data is funneled to a central location where it��s available to analyze, interpret, and act on. Unfortunately, this isn��t always as easy as it sounds. When data sets become this large and complicated, drawing conclusions and making improvements from them becomes difficult. The data has essentially lost its utility to transform businesses into digital-first operations that leverage the full potential of AI-driven learning. To get the most out of IoT data, you need data storage management and analytics tools built to support big data.

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