In general, IoT data is collected by devices that are connected to the internet such as sensors and wearables. There are, however, varying degrees of complexity for different kinds of sensor data.

Data in motion is one of three broad labels used to describe data as part of a unified data life cycle. It can be “at rest”, “in use”, or “in motion”.

• Streaming analytics: These in-motion data sets can become gigantic, but the data analytics of event stream processing (as it is also known) can make on-the-spot decisions and urgent corrections.

IoT Back to Basics, chapter 1: The Internet of Things (IoT) is placing unprecedented demands on data storage, networking, processing and analytics. For end users, vendors and investors, it ...

In 2015, there were 15.41 billion connected Internet of Things (IoT) devices around the world. By 2020, just two years from now, that number will nearly double to 30.73 billion. 1 Manufacturing ...

Challenges in accurate data collection, secure communications and reliable platforms can often hinder companies from scaling IoT solutions to production, ultimately stranding them in pilot ...

By George Trujillo, principal data strategist, DataStax; and Ara Bederjikian, president, Titanium Intelligent Solutions - The IoT industry is evolving to support a wide range of use cases and ...

Four Key Technologies Driving Data Analytics in Industrial IoT Oct. 21, 2024 Industrial IoT analytics applications tend to work best when people investigate completing technologies.

As enterprise IoT deployments grow, companies must create a plan for collecting, storing, protecting, and analyzing data from connected devices.

A simple example of data in motion is the same SaaS application when it asks you for your username and password. That information is being transferred from your computer, tablet, or smartphone to ...