Global Azure Bootcamp is a free, one-day, local event that takes place globally. It’s an annual event run by the Azure community.

This year, Global Azure Bootcamp is on Saturday, April 27, 2019. Starting with events in New Zealand and ending in Hawaii, chances are you can find a location near you.

If not, you can also organize a location and receive sponsorship and even free lunch. However, new locations must register new events by Friday, March 29, 2019.

Any education location can join and will get sponsorship, Azure passes, Azure for Students, lunch, and a set of content to use for the day.

Follow #GlobalAzure on social media to connect with the global Azure community.

Follow members of the Global Azure Bootcamp Admin Team:

 

John Sheehan, Architect in the Azure IoT team, discusses the impact IoT is having on Azure services and how the new scenarios and challenges IoT presents are addressed in the Microsoft Cloud.

Create a Free Account (Azure): https://aka.ms/aft-iot

Ricky Brundritt, PM in the Azure Maps team, walks Olivier through data driven styling with Azure Maps. Data driven styling allows you to dynamically style layers at render time on the GPU using properties on your data. This provides huge performance benefits and allows large datasets to be rendered on the map. Data driven style expressions can greatly reduce the amount of code you would normally need to write and define this type of business logic using if-statements and monitoring map events.

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In this video, learn about the heat map and image layer visualizations in side of Azure Maps. Heat maps are used to represent the density of data using a range of colors. They are often used to show the data “hot spots” on a map and are great to help understand data. The heat map layer also supports weighted data points to help bring the most relevant information to the surface.

The image layer allows you to overlay georeferenced images on top of the map so that they move and scale as you pan and zoom the map. This is great for building floor plans, overlaying old maps, or imagery from a drone.

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In this episode of Five Things, John Papa and Jeff Hollan bring you five reasons you should check out Azure Functions today. You can also listen to Jeff dive deeper into serverless on his recent episode of Real Talk JavaScript.

Data integration is complex with many moving parts. It helps organizations to combine data and complex business processes in hybrid data environments. Failures are very common in data integration workflows. This can happen due to data not arriving on time, functional code issues in your pipelines, infrastructure issues, etc.

A common requirement is the ability to rerun failed activities within data integration workflows. In addition, sometimes you need to rerun activities to re-process data due to an error upstream in data processing. Azure Data Factory now enables you to rerun the entire pipeline or choose to rerun downstream from a particular activity inside a pipeline.

One of the promise of IoT is to allow bringing the intelligence of the Cloud to the Edge to run IoT data analytics as close as possible to the data source. This allows to reduce latencies, optimize performance and response times, support offline scenario, comply with privacy policies and regulations, reduce data transfer cost, and more…

One thing you really have to consider when bringing Artificial Intelligence to the edge is the hardware you will need to run these powerful algorithms. Ted Way from the Azure Machine Learning team joins Olivier on the IoT Show to discuss hardware acceleration at the Edge for AI. We will discuss scenarios and technologies Microsoft develops and uses to accelerate AI in the Cloud and at the Edge such as Graphic cards, FPGA, CPU,… To illustrate all this, Ted walks us through real life scenarios and demos IoT Edge running Machine Learning vision algorithms.

Learn more about hardware acceleration for AI at the Edge: https://docs.microsoft.com/azure/machine-learning/service/concept-accelerate-with-fpgas

Create a Free Account (Azure): https://aka.ms/aft-iot

Kirill Gavrylyuk joins Scott Hanselman to discuss new improvements for Azure Cosmos DB SDKs, including the new, idiomatic .NET SDK with friendlier, more intuitive programming model, better testability, better performance, .NET Standard 2.0 support, and now open sourced.     

 

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