November 2, 2025

4 Foundational Pillars of The Unified Namespace

Publishing all your factory data into a central broker doesn’t make it a Unified Namespace.

At best, it’s a centralized data dump. At worst, it’s a black box no one can use.

After working closely with teams building UNS architectures in complex environments, I’ve seen what is required of a solid UNS strategy.

It comes down to four foundational pillars:

𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐝 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥


Your data needs context, and it needs to be consistent everywhere.

A strong UNS enforces a standardized, hierarchical model that reflects your equipment or organizational structure.

This model isn’t just for the central system, it’s distributed across edge devices, brokers, and apps.

𝐇𝐢𝐬𝐭𝐨𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧


It’s not just about real-time. To unlock insights, you need to retain and access historical data.

Historical data needs to be available in the same contextual format as real-time data.

That way, whether you’re building an analytics dashboard or training an AI model, you can query both past and present data through the same interface.

𝐐𝐮𝐞𝐫𝐲𝐚𝐛𝐢𝐥𝐢𝐭𝐲


In a conventional UNS, you can only subscribe to real-time data topics, you can’t really ask questions.

But what if you need to know:

"𝘞𝘩𝘪𝘤𝘩 𝘧𝘦𝘳𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯 𝘵𝘢𝘯𝘬𝘴 𝘤𝘶𝘳𝘳𝘦𝘯𝘵𝘭𝘺 𝘳𝘶𝘯𝘯𝘪𝘯𝘨 𝘢 𝘣𝘢𝘵𝘤𝘩 𝘰𝘧 𝘴𝘵𝘳𝘢𝘪𝘯 𝘉-23 𝘺𝘦𝘢𝘴𝘵 𝘢𝘯𝘥 𝘤𝘰𝘯𝘯𝘦𝘤𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘤𝘰𝘰𝘭𝘪𝘯𝘨 𝘴𝘺𝘴𝘵𝘦𝘮 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘯𝘨 𝘣𝘦𝘭𝘰𝘸 5°𝘊."

"𝘞𝘩𝘪𝘤𝘩 𝘩𝘦𝘢𝘵 𝘦𝘹𝘤𝘩𝘢𝘯𝘨𝘦𝘳𝘴 𝘰𝘧 𝘮𝘰𝘥𝘦𝘭 𝘏𝘟-200 𝘩𝘢𝘷𝘦 𝘦𝘹𝘤𝘦𝘦𝘥𝘦𝘥 90% 𝘰𝘧 𝘵𝘩𝘦𝘪𝘳 𝘴𝘤𝘩𝘦𝘥𝘶𝘭𝘦𝘥 𝘮𝘢𝘪𝘯𝘵𝘦𝘯𝘢𝘯𝘤𝘦 𝘪𝘯𝘵𝘦𝘳𝘷𝘢𝘭 𝘢𝘯𝘥 𝘢𝘳𝘦 𝘪𝘯𝘴𝘵𝘢𝘭𝘭𝘦𝘥 𝘪𝘯 𝘙𝘰𝘵𝘵𝘦𝘳𝘥𝘢𝘮”

A queryable UNS gives you that power, whether you’re a human or a machine.
With flexible APIs or query languages, you get on-demand access to the data that matters.

𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐲


If you have thousands of data points across your enterprise, how do you find what’s available?

Discoverability transforms your UNS from a black box into a clearly structured data catalog that’s easy to access, explore, and trust.

New data sources should be automatically discoverable, and users or apps should be able to easily navigate the structure and understand what's there.

When these four pillars are in place, your architecture becomes scalable, maintainable, and ready to power real industrial intelligence.

Kudzai Manditereza

Founder & Educator - Industry40.tv

Kudzai Manditereza is an Industry4.0 technology evangelist and creator of Industry40.tv, an independent media and education platform focused on industrial data and AI for smart manufacturing. He specializes in Industrial AI, IIoT, Unified Namespace, Digital Twins, and Industrial DataOps, helping digital manufacturing leaders implement and scale AI initiatives.

Kudzai hosts the AI in Manufacturing podcast and writes the Smart Factory Playbook newsletter, where he shares practical guidance on building the data backbone that makes industrial AI work in real-world manufacturing environments. He currently serves as Senior Industry Solutions Advocate at HiveMQ.