If you have large data sets that seem too big to map, then watch this IoT show to learn how to cluster data in Azure Maps so your users can rapidly extract insights from very large data sets.

Ricky Brundritt, Principal Technical Program Manager, Azure Maps, takes you on a historical journey from grid-based clustering to radius-based clustering. You’ll learn how the power of the open source community has contributed to the supercluster library which Azure Maps leverages extensively. Watch Ricky demo and step through Azure Maps code for clustering using large data sets of shipwrecks and earthquakes. Learn how to use cluster aggregates to perform calculations based on properties of the children of each cluster. Ricky wraps up with a demo visualizing clustered map data in the form of pie charts—again, to enable your users to extract insights quickly.

Access demo source code here: https://aka.ms/AzureMapsSamples

Are you interested in connected vehicles?

In this video, you’ll get an overview of Microsoft Connected Vehicle Platform (MCVP).

MCVP is plumbing—the undifferentiated, heavy lifting common across connected vehicle applications—that Microsoft has made available as a platform.

MCVP provides connectivity, message delivery to the vehicle, and software updates so OEMs can focus on creating a unique customer experience.

Get a sneak preview  (aka.ms/iotshow/IoTatIgnite) of what you’ll learn at Ignite on November 4-8, 2019, in Orlando, Florida or by streaming the event online.

  • Sam George will lead a breakout session covering the newest offerings from Microsoft IoT.
  • Galen Hunt will speak with Starbucks on their use of Azure Sphere.
  • Olivier Bloch and Arjmand Samuel will lead a demo-heavy deep dive exploring what’s available today to build a secure end-to-end IoT solution.

On site attendees will have the opportunity to get hands-on experiences.

Twenty-minute theater sessions will offer go deep into specific topics including Azure IoT Hub, Azure IoT Central, Azure Maps, Azure Time Series Insights, IoT Plug and Play, and Azure Security Center for IoT. Developers and operators will leave the event knowing how to make IoT smart, seamless, and secure.      

Learn more at https://www.microsoft.com/en-us/ignite

IoT Plug and Play is now in public preview (https://aka.ms/IoTShow/IoTpnp).

In this episode of the IoT Show, you will see the new Azure IoT Central experience with native support for IoT Plug and Play.

Azure IoT Central has drastically simplified the task of building IoT solutions by eliminating the need for any cloud side development.

With IoT Plug and Play solution builders can explore a range of Azure IoT Certified Plug and Play devices; pick the devices that best fit their solution needs and build a production grade solution within days without having to write a single line of embedded code, drastically cutting down the time to market and costs.

After watching this short episode of the IoT Show and if you want to learn more, tune in (or watch on demand) the IoT Show Deep Dive episode: https://aka.ms/iotshow/deepdive/006

Azure Security Center for IoT can help you monitor and manage your IoT security posture.

Organizations can now easily protect their IoT deployments using hundreds of built-in security assessments drawn from the industry best practices, or create custom rules in a central dashboard. With newly added IoT security capabilities, you can now reduce attack surface for your Azure IoT solution and remediate issues before they can be exploited.

In this episode of the IoT Show, IoT Security experts show how to onboard to Azure Security Center for IoT and demo some of the many security values you will get.

For more details, visit Azure Security Center for IoT documentation at:

Time Series Model enables customers author and manage metadata and computations and associate it with the telemetry ingested from IoT devices. This helps convey semantics about time series, allowing them to search and understand time series in a way that relates to the physical world.

In this episode of the IoT Show, Olivier discusses the IoT data flow within Azure Time Series Insights as well as demonstrate how TSI Model and Query work and can be used.

You can now derive rich insights from your IoT data in Azure Time Series Insights using advanced visualization options.

The team has introduced  several new capabilities into TSI Explorer since we launched last December. These include significant Performance improvements, new Explorations like Scatter Plots & Heatmaps, as well as an enhanced JS SDK and more. Rahul Kayal, PM in the TSI team walks us through the latest additions and enhancements in TSI.

Check this video out to learn more.     

Try Azure Time Series Insights today: https://aka.ms/tsipreview
Check out the JS SDK for TSI in action: https://aka.ms/tsiclientdemos
Try Azure IoT for free today: https://aka.ms/aft-iot