Learn how Microsoft is simplifying IoT with the evolution of Azure IoT Central.

Step through a live demo of the new IoT Central retail application template with Avneet Singh, Senior Program Manager, IoT Solutions team.

Learn how this IoT app platform keeps devices connected with built-in device management.

Understand IoT Central makes it easy to integrate into business applications to deliver insights to business decision makers.

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

After pondering some of the implications of Siraj Raval’s predictions for AI in 2019, it’s time to move learning containers to the top of my learning queue.

In this video, Damian interviews Cloud Advocate Jay Gordon at Microsoft Ignite in Berlin. Containers are still new for a lot of people and with the huge list of buzzwords, it’s hard to know where to get started. Jay shows how easy it is to get started running your first container in Azure, right from scratch.

Resources:

Follow Jay on Twitter: @jaydestro
Follow Damian on Twitter: @damovisa

Data engineering is about 70% of any data pipeline today, and without having the experience to implement a data engineering pipeline well, there is no value to be accumulated from your data.
In this session from Microsoft Ignite we discuss the best practices and demonstrate how a data engineer can develop and orchestrate the big data pipeline, including: data ingestion and orchestration using Azure Data Factory; data curation, cleansing and transformation using Azure Databricks; data loading into Azure SQL Data Warehouse for serving your BI tools.
Watch and learn how to effectively do the ETL/ELT process combined with advanced capabilities such as monitoring the jobs, getting alerts, jobs retrial, set permissions, and much more.