From Azure IoT Operations to Microsoft Fabric and back, what could go wrong?

Recently, Microsoft released Azure IoT Operations, their new flagship edge solution.

Being part of the ever growing Azure IoT family, it promises the use of new standards like MQTT and OPC-UA and a rich set of integration solutions.

This way, telemetry can be sent to the cloud and even two-way communication is possible.

In this session, after introducing Azure IoT Operations, we check out the integration with Microsoft Fabric.

Microsoft Fabric is the new SaaS Data platform that makes working with cloud and data simple via a very rich portal experience.

Attendees learn about how Azure IoT Operations is configured to collect messages from devices and how to pass on these messages to the Real-Time intelligence features of Microsoft Fabric.

If we are lucky, attendees can even experience how to send commands back so it becomes clear what features Microsoft Fabric offers as a full feedback loop.

Azure IoT Operations: The Ultimate Edge Device Whisperer

Recently, Microsoft introduced a new member to the Azure IoT family: Azure IoT Operations.

It is designed with the latest IoT standards, like MQTT, OPC-UA, and better cloud integration.

In this session, attendees learn the currently available features of Azure IoT Operations and how these integrate both on the factory floor and in the cloud.

They also see a comparison with Azure IoT Edge and learn about the pros and cons of the new solution.

After this session, attendees know the value of the current Azure IoT Operations features and how to start if they want to test this edge solution themselves.

Experience the basics of Azure IoT, dashboarding … and beyond

Internet of Things (IoT) is hot and happening. Many companies benefit from their machine data by optimizing their processes with remote monitoring and predictive maintenance.

,,But I don't know anything about IoT. How should I start? How do I get value from incoming raw telemetry?''

The best way to learn it is to experience it!

Within this half-day workshop, you'll follow the scenario in which a remote coffee machine is connected to Azure for monitoring and management of issues. You can monitor device telemetry such as water temperature and water level, observe the state of your machine, set the optimal temperature, and send commands. Next to that, you learn how to query the data using KQL and use that for building simple but effective dashboards.

With this introduction, you will get an idea of the basic IoT principles by hands-on experience with a simulated device, Azure IoT Hub, Azure Data Explorer and Visual Studio Code. So, bring your laptop and prepare yourself for future IoT related cases and telemetry exploration within your organization.

You will turn your laptop into a coffeemaker. Check out the prerequisites at https://github.com/sandervandevelde/Experience-the-basics-of-Azure-IoT/

Fancy device toppings on your vanilla MQTT broker?

Do you want to connect many IoT devices all over the world so they can communicate with each other in real time? Do you want to use standard MQTT... in a secure way?

On popular demand, one of the most popular IoT protocols is now offered as a native cloud service.

While IoT is maturing, Microsoft is expanding its Azure IoT proposition in multiple directions. This vanilla MQTT broker also comes with extra options to make it even more secure.

Using multiple demos, solutions with both device-to-device communication between actual industrial devices and device-to-cloud communication will be explained.

Next to the EventGrid namespace MQTT support, the integration with eg. Microsoft Fabric is demonstrated.

Learn why this new broker offers new advantages for your IoT solution, where the pitfalls are, and how it fit in your architecture to provide insights and value using real-time analytics.

This is a presentation filled with live demos where actual industrial hardware will be connected to the cloud

Attendees learn how the Azure services both honor vanilla MQTT and offer more elaborate services on top of it.

Cross the streams for Microsoft Fabric Real-Time Intelligence

Are you already working with Real-Time data in your cloud platform?

This is no longer the domain of IoT, every data engineer will encounter streams of data to manage. Crossing the streams adds value!

Next to batch processing, Microsoft Fabric includes Real-Time Intelligence where continuous flows of TimeSeries data can be ingested, queried, and turned into actions.

Attendees will learn to set up real-time data stream ingestion and process messages for filtering, aggregation, or transformation. Storage of time-series data and querying using KQL is demonstrated, adding value to the raw data. Activating your data into automatic notifications based on basic rules is also covered.

Tools like Real-Time Hub, KQL databases, KQL Queryset, Eventstreams, Data Activator, and more will be demonstrated.

Expect a demo-packed presentation for both data engineers and IoT developers.

This presentation focuses on the Real-Time Analytics part of Microsoft Fabric. See also my well-received 10-part blog series about this topic.