In this session from Build 2018, learn how to harness the power of Azure Cosmos DB, a NoSQL document-based database that offers a true “serverless data” experience.

Jeremy Likness shows you how to scale globally with point-and-click geo-replication and guaranteed single-digit latency. You’ll learn how to “choose your own API” and be able to interact with Azure Cosmos DB using the SQL API, MongoDB, Gremlin (graph-based), Table Storage, and Cassandra APIs. You’ll learn how to set up Azure Cosmos DB and build applications with demonstrations in .NET and .NET Core.

Unity is a game development platform that allows you to create high quality 2D and 3D games, and deploy them across mobile, desktop, VR/AR, gaming consoles or even the web.

In this episode we’re joined by Cloud Developer Advocate Brian Peek (@BrianPeek), who gives us some insight on building games with Unity. He shows how .NET developers can use their skills with Unity and also leverage cloud services in the backend.

Useful Links

I recently got a web cam device and when I read the instructions to “place the phone near the camera so that it can listen to the camera” I thought I was dealing with an epic example of mistranslated text.

However, shortly after hearing a series of chirps and beeps reminiscent of R2-D2, the camera was configured.

Well, it turns out that there’s an SDK for that and it works with Azure.

Chirp (https://chirp.io) created enterprise-ready, cross platform SDKs for transmitting data over sound and the Azure IoT team collaborated with Chirp to implement a nice and easy way to setup an MXChip devkit and connect it to Azure IoT Central using just sound.

Collected and predicted data, coupled with the farmer’s knowledge about the farm, can help increase farm productivity and reduce costs. Microsoft already enabled precision farming through FarmBeats and partnerships with solution integrators leveraging the Azure IoT platform and solutions.
Here is an introduction to the upcoming Microsoft’s IoT In Action Agriculture Webinar.
Tune in to watch the webinar live on August 23, 2018 10:00a.m. PST / 11:00a.m. CET / 1:00p.m. SGT

Gaurav Malhotra discusses how you can operationalize Jars and Python scripts running on Azure Databricks as an activity step in a Data Factory pipeline.

For more information:

Just when you thought Azure Databricks couldn’t get any better, watch this video where Yatharth Gupta, Principal Program Manager for Azure Databricks, talks about the newly introduced integration with R Studio.

For data scientists looking at scaling out R-based computing to big data, Azure Databricks provides the best way scale out their R models with Spark, that is easy to setup and integrates with the most popular R tools and frameworks. Data scientists can use Azure Databricks and R Studio to easily create analytics models, quickly access and prepare high quality data sets, and automatically run R workloads at unprecedented scale.

In this video, Katherine Kampf, PM on Azure Big Data team, talks about the newly introduced ML Services in Azure HDInsight.

ML Services bridges these Microsoft innovations and contributions coming from the open-source community (R, Python, and AI toolkits) all on top of a single enterprise-grade platform. Any R or Python open-source machine learning package can work side by side with any proprietary innovation from Microsoft.

ML Services includes highly scalable, distributed set of algorithms such as RevoscaleRrevoscalepy, and microsoftML that can work on data sizes larger than the size of physical memory, and run on a wide variety of platforms in a distributed manner.

Jean-Sébastien Brunner joins Lara Rubbelke to discuss new features that enable you to implement the intelligent cloud, intelligent edge vision for streaming analytics: Stream Analytics running real-time analytics with custom code on IoT Edge. We also discuss substreams, which is a new time management feature for independently processing the timeline of each device (very useful for an IoT scenario), and the recently announced Session Window.

For more information: