Matías Quaranta (@ealsur) shows Donovan Brown (@donovanbrown) how to do bulk operations with the Azure Cosmos DB .NET SDK to maximize throughput, and how to use the new Transactional Batch support to create atomic groups of operations.

Related Links:

Romit Girdhar, Microsoft (@romitgirdhar) and Chinmay Joshi, Oracle join Lara Rubbelke to explain how to interconnect Microsoft Azure and Oracle Cloud Infrastructure.

The Microsoft Azure and Oracle Cloud interoperability partnership enables you to migrate and run mission-critical enterprise workloads across both clouds, seamlessly connecting Azure services, like Analytics and AI, to Oracle Cloud services, like Autonomous Database. Learn how you now have a one-stop shop for all the cloud services and applications you need to run your business.

Azure machine learning datasets is a great solution to manage your data for machine learning.

With datasets, you can directly access data from multiple sources without incurring extra storage cost; load data for training and inference through unified interface and built in support for open source libraries; track your data in ML experiments for reproducibility.

Learn More:

In this episode, Serkant Karaca and Shubha Vijayasarathy from the Azure Event Hubs team talk about how and when to use Azure Event Hubs as the messaging component in our .NET applications. They’ll discuss use cases, cover topics like partitioning  and also show how to use the .NET SDK for Event Hubs.

Useful Links

Geofencing has many practical applications. A geofence is a virtual boundary defining an area on a map. Using tools in Azure Maps, Jim demos how to test if a coordinate is inside or outside the Microsoft Redmond campus boundary.

It can be used to send an alert if an expensive piece of machinery leaves a construction site unexpectedly or to send a warning if a worker enters an unsafe location within a factory.

Jim Bennett shows us how to code geofencing applications with Visual Studio, Python, and Azure Maps.

Jim explains why and how to manage a buffer around your geofence boundary. (Hint: GPS is not that accurate!) He also demos how to set a notification using a web hook and an Azure Logic App when a person or item enters or leaves a geofence area.

Next steps:

Step through the tutorial: Set up a geofence by using Azure Maps

Visit Jim’s blog on geofencing: are you where you should be?

Krysta Svore, principal researcher at Microsoft, demonstrates the new Microsoft Quantum Development Kit.

The Quantum Development Kit makes it easy for you to start experimenting with quantum computing now and includes: · A native, quantum-focused programming language called Q# · Local and Azure-hosted simulators for you to test your Q# solution · And sample Q# code and libraries to help you get started

In this demo, she walks through a few code examples and explains where quantum principles like superposition and entanglement apply. She explains how quantum communication works using teleportation as your first “Hello World” inspired program. And keep watching to see more complex computations with molecular hydrogen.  

Learn more about the deployment options for Azure SQL Database. 

More information.

[00:00] – Introduction
[00:41] – Deployment options in Azure SQL Database, including elastic pool, single database and Managed Instance
[03:33] – DTU service tiers (Basic, Standard, Premium)
[07:08] – vCore service tiers (General Purpose, Hyperscale, Business Critical)
[08:08] – General Purpose tier: Provisioned vs Serverless
[09:16] – Compute Generation: Gen4 vs Gen5
[10:01] – Decision points for Provisioned vs Serverless compute tiers
[13:25] – Saving money with Azure Hybrid Use Benefits
[13:58] – Business Critical tier and read scale-out
[15:42] – Hyperscale tier
[21:03] – Summary of deployment options
[22:17] – Finalizing the creation of a new Azure SQL Database
[23:02] – Summary and wrap-up

Mahesh Yadav, Software Engineer on the Intelligent Edge team, joins the IoT Show to unbox the Microsoft Vision AI DevKit (aka.ms/iotshow/visionaidevkit), a smart camera for the intelligent edge.

The developer kit uses the Qualcomm’s Vision Intelligence 300 Platform which uniquely runs machine learning with hardware acceleration delivering results in milliseconds which is perfect for connected car or connected factory scenarios where you need low latency as well as support offline scenarios.

In this episode, you will see how easy it is to bring up AI on the edge with Azure IoT Edge and Azure Machine Learning.

The DevKit includes a sample AI model that identifies 183 objects including people, laptops, chairs and more. The highlight of the show is a real-time camera demo that asserts that both Mahesh and Olivier really are people.

And it’s always good when an AI affirms your personhood. 😉