Unified Namespace Workshop
Hands-on training in real-time production data. Your team learns MQTT, dashboards, and data collection—by building them.
One or two days of practical, step-by-step training. Your team walks out with working skills and a demo environment to continue learning.
Schedule a workshopYou can't track what you can't capture
How much energy did that order consume? You don't know—the meter isn't connected to the job.
How much scrap came off that run? Someone wrote it on paper. Maybe it made it into a spreadsheet. Maybe it didn't.
What's the machine doing right now? Walk over and look. Or call someone standing nearby.
These aren't small problems anymore.
Product passports are coming
EU regulations will require energy and material tracking per product. If you can't connect consumption data to specific orders, you can't comply.
Waste stays invisible
You know scrap is costing you money. But which jobs? Which machines? Which shifts? Without capturing events at the source, you're guessing at causes.
Status lives in people's heads
"Where's that order?" means a phone call or a walk to the floor. The information exists—it's just not accessible anywhere.
Events disappear
Machine stopped for 20 minutes on Tuesday. Why? Nobody logged it. The pattern that's costing you thousands per month stays hidden because the data was never captured.
Your factory generates valuable data constantly—cycles completed, energy consumed, parts scrapped, machines stopped. Most of it vanishes. The technologies in this workshop teach your team how to capture it.
Capture what's actually happening
After this workshop, your team understands how to build systems that capture production reality in real-time.
Energy per order
Connect consumption data to specific jobs. Know exactly how much power that order used—not an estimate, the actual number. Ready for product passport requirements.
Waste per run
Scrap logged at the source, tied to the job, the machine, the shift. Patterns become visible. Problems become findable.
Real-time machine status
Dashboards that update automatically. Anyone can see what's running, what's idle, what's down—without interrupting the floor.
Events stored and queryable
Everything that happens gets captured. When you need to investigate a problem from last week, the data is there.
This is the foundation for MES, for AI, for any data-driven improvement. Your team learns to build it themselves.
Learn by building
This isn't a lecture with slides. Your team builds alongside me—step by step, screen by screen.
Every concept gets applied immediately. When I explain how MQTT works, your team connects to a broker and publishes messages. When I show how dashboards work, your team builds one from live data.
By the end of the day, your team has created working examples they understand completely—because they built them.
What makes this different:
Step-by-step guidance
I show exactly what to do, then your team does it. No jumping ahead, no "figure it out yourself." Clear instructions, immediate practice.
Real data, not simulations
We work with actual sensors streaming live data. Temperature, energy consumption, machine states. Your team sees real-time data flowing, not pre-recorded demos.
Working demo environment
Your team leaves with a functioning setup they can continue experimenting with. Not just notes—actual working software they can extend.
Questions answered on the spot
Stuck on something? We solve it together. Confused about why something works that way? We dig in until it makes sense.
Remote or on-site
On-Site Workshop
I come to your facility or a training location. Your team works together in person with dedicated hardware and live equipment. Face-to-face instruction, shared problem-solving, focused attention.
Remote Workshop
Live video sessions where your team follows along on their own machines. Same step-by-step approach, same hands-on building—delivered wherever your team is located. Virtual lab environments ensure everyone can participate fully.
Both formats cover the same material. Choose based on how your team learns best and what logistics allow.
Technologies your team will master
Your team learns the full stack for capturing and visualizing production data—from sensors to dashboards.
MQTT & Message Brokers
The communication layer that makes real-time data possible. Your team learns to configure brokers, structure topics, publish and subscribe to messages. By the end, they're comfortable connecting new data sources themselves.
United Manufacturing Hub
Open-source platform for collecting and organizing production data. We install it together, configure data sources, and connect it to machines. Your team understands how it works—not just how to use it.
Grafana Dashboards
Build real-time visualizations that update automatically. Machine status displays, energy monitoring, production KPIs. Your team creates working dashboards during the workshop.
Node-RED Flows
Low-code tool for processing and routing data. Connect sources, transform messages, trigger actions based on conditions. Your team builds working flows to solve real problems.
Data Architecture
How to structure your namespace so it scales. Topic naming, hierarchy design, connecting production data to orders and resources. The decisions that make future expansion easy—or hard.
Work with live sensor streams
During the workshop, we connect to actual sensors streaming real data. Your team sees what real-time production monitoring actually looks like—not screenshots or recordings.
Data types we work with:
Temperature
Machine and ambient monitoring
Energy consumption
Real-time power tracking
Machine states
Running, idle, error detection
Production events
Cycles, counts, status changes
Your team experiences sub-second updates, sees how data flows through the system, and understands what "real-time" actually means in practice.
Workshop agenda
UNS Fundamentals
What a Unified Namespace is, why it matters, and how the pieces fit together. Context for everything that follows.
MQTT Deep Dive
Hands-on with message brokers, topics, and publish/subscribe patterns. Your team connects to live sensors and sends their first messages.
Lunch
UMH & Data Collection
Set up United Manufacturing Hub together. Configure data sources, structure the namespace, connect machine data.
Dashboards & Flows
Build visualizations in Grafana and data processing flows in Node-RED. Your team creates working examples from the data they've been collecting.
Your Factory
How to apply what you've learned. Architecture planning for your specific situation. Questions and next steps.
Wrap-up
Note: The 2-day format expands each section with more hands-on time, advanced topics, and deeper work on your specific architecture questions.
Bring UNS skills to your team
Custom workshop at your facility or delivered remotely. Your team gets hands-on experience with the technologies that capture production reality.
Schedule a workshopWe'll discuss your team's background, your technology environment, and whether 1-day or 2-day makes sense.
Skills and tools to continue
Practical capabilities
- Connect new data sources to your infrastructure
- Build and modify real-time dashboards
- Create data processing flows in Node-RED
- Structure namespaces that scale
- Troubleshoot MQTT connections
- Evaluate vendor solutions against open standards
Materials and environment
- Working demo setup to continue experimenting
- Configuration files and templates
- Architecture documentation
- Best practices reference
- Follow-up support for questions
Who this is for
The workshop is designed for people who will build and maintain your data infrastructure. Technical background helps, but we start from fundamentals.
Good candidates:
What participants say
"Luke is enthusiastic, thinks along, and has a lot of expertise. The interaction and personal advice were very valuable."
"Luke's knowledge of digitization helps us make decisions for our smart factory. His experience with automation in sheet metalworking and IT was decisive for our cooperation."
"I highly recommend Luke for his exceptional expertise in digitalization and process optimization. Thanks to his commitment and knowledge, we have made significant strides in improving our efficiency."
60+
professionals trained
9+/10
satisfaction rating
Questions about the workshop
"Do participants need programming experience?"
No. We use visual tools like Node-RED and start from basics. Participants with programming backgrounds can go deeper, but it's not required.
"What should participants bring?"
A laptop with admin rights to install software. We send setup instructions beforehand. For remote sessions, a stable internet connection and headset.
"What's the difference between 1-day and 2-day?"
The 1-day covers all core topics with focused hands-on time. The 2-day goes deeper—more complex examples, more time to experiment, and space to work on your specific questions.
"Can we use our own equipment during the workshop?"
For on-site workshops at your facility, we can incorporate your machines and sensors if they're accessible. For remote workshops, we use provided demo data. Either way, the skills transfer.
"Is this relevant if we don't have UMH yet?"
Yes. The concepts and skills apply to any real-time data architecture. We use UMH because it's open-source and accessible, but the knowledge transfers to other platforms.
"What if someone misses part of the day?"
The material builds progressively. Missing early sections makes later parts harder to follow. For teams with constraints, the 2-day format with shorter sessions may work better.
"How technical does it get?"
We go as deep as your team needs. The core curriculum is accessible to non-programmers. Teams with stronger technical backgrounds can explore advanced topics during hands-on time.
I've taught this to 60+ professionals
15 years on production floors across Europe. Laser cutting, bending, welding, assembly. I know what data matters in metals operations—not just what looks impressive in demos.
I've trained teams at companies ranging from 20-person shops to multinationals. I know where people get stuck, which concepts need more explanation, and how to bridge IT and production thinking.
The workshop isn't theoretical. Every example comes from real implementations. Every best practice comes from seeing what works when production pressure hits.
Start capturing what's actually happening
Hands-on training in real-time production data. Your team builds working examples and walks out ready to extend them.
Schedule a workshopWorkshop dates depend on my consulting schedule. Remote workshops offer more flexibility. Contact me to discuss timing that works for your team.