# Blog

## [Semantic Modelling: The Secret to Scalable, Modular Digital Twins](/content/blog/the-secret-to-scalable-modular-digital-twins/index.html)

What is semantic modelling? Semantic modelling is the process of gathering all the relevant data and modelling tools for a small scale mathematical or ML/AI model in one place, and building a small scale model which can be used in conjunction with similar models to build a larger scale model of a system. This modular [...]

## [Enforcing a UNS: Reliable, Usable Data from Any Source to Any Space](/content/blog/enforcing-a-uns/index.html)

Learn how enforcing a Unified Namespace (UNS) at the edge ensures reliable, structured data for live digital twins across any source, system, or protocol.

## [From Condition Monitoring to Real-Time Control: The Power of Live Feedback Loops](/content/blog/the-power-of-live-feedback-loops/index.html)

Until recently, it has not been possible in many cases to fully understand such complex systems, and thus to ensure that optimal performance is maintained without unacceptable safety risks. This is where live digital twins can help. For the first time, engineers and operators can have a full picture of machine behaviour in real time. This means not only are the insights from traditional condition monitoring systems replicated in the twin, but a far deeper understanding of what the machine is doing is possible.

## [Why Your Digital Twin Needs an Intelligent Data Pipeline](/content/blog/why-your-digital-twin-needs-an-intelligent-data-pipeline/index.html)

Live digital twins need more than basic data connectors. Intelligent data pipelines offer real-time, multi-source input, edge processing, and smart routing for faster and more accurate insights than legacy methods like MQTT or OPC UA.

## [What Is a Live Digital Twin? (And Why the Old Ones Aren’t Enough)](/content/blog/what-is-a-live-digital-twin/index.html)

At its most basic, a digital twin is a virtual representation of a real world system. This is done so that a better understanding can be gained of how the system works. A live digital twin, and as the name suggests, it’s very much like a digital twin, except it uses live streaming data, and calculates live.

## [End to End Data – From Sensors to PI: IoT and Fog Computing Lab at PI World 2018](/content/blog/end-to-end-data-from-sensors-to-pi-iot-and-fog-computing-lab-at-pi-world-2018/index.html)

These are really exciting times, and for a good reason. PIWorld is a milestone for FogLAMP and a game changer for the whole Community involved in the development and implementation of IoT and IIoT projects. For the first time, industrial-grade solutions can combine decades of investments in existing infrastructure with new and innovative technologies.

## [Dear MySQLers, the Cloud Is Good, But the Fog Is the Next Big Thing](/content/blog/why-is-fog-computing-good-for-mysql/index.html)

Is Fog Computing another pointless renaming of well known technologies and IT infrastructures? Or is it a real new thing that Systems and Database Administrators should look at, study and embrace? The intent of this post is not to support one side or the other, but simply to instill a few thoughts that may turn handy in understanding where the IT market is going, and more specifically where MySQL can be a good fit in some of the new trends in technology.