How Do I Migrate SAS® Event Stream Processing Workloads to Microsoft Azure?

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Watch this Ask the Expert session to learn how to use SAS^® Event Stream Processing on the Azure platform. Q&A, webinar recording, and slides are available at links below.

Watch the webinar

Join Steve Sparano and Steven Allen as they discuss and show a demo on migrating SAS Event Stream Processing workloads to Microsoft Azure. Watch this webinar to learn:

• How to use SAS Event Stream Processing on the Azure platform.
• Optimal methods for streaming analytics on the Azure platform.
• How to benefit from moving streaming analytic workloads to Azure.

The questions from the Q&A segment held at the end of the webinar are listed below and the slides from the webinar are attached.

Since we already have a cloud environment, why do we need edge and how it is different from the current cloud environment from a development perspective?

If you already have a cloud environment, SAS Event Stream Processing on Azure can enhance your current cloud environment by adding automation, SAS analytics and Python support. This includes not just the analytics on streams of data, but also the support for deployments that are automated and already tied into Azure for scale/reliability/security. You could use edge computing to make decisions closer to where the events originate. That does several things for you: 1. Makes it faster to respond. You don’t have connect back to cloud. The processes run stand-alone on the edge devices. 2. Can create a closed loop analytic system. 3. Eliminate or reduce info to send back to the cloud. For example, only send an anomaly back to the cloud. It gives you a lot of flexibility to push the decisioning and analytics down to the edge.

Can you provide examples of any of your customers who are using ESP in Azure today?

Direct customers – Town of Cary in North Carolina is using it for flood prediction and improved emergency personnel response. It’s deployed in Azure. We’re receiving data from the edge sensors and all the analytics and predictions are being done in Azure.

Partners – pushing their deployments to the cloud. They must be secure and they have to scale. In the hospital space they are tracking assets. This allows everything to scale as they add new hospitals, sensors, or events. They enjoy the benefits of security, scalability and not having to add new hardware.

You mentioned that this was for Azure but are there other public Cloud providers that SAS is targeting?

SAS has a partnership with Microsoft so Azure is the preferred provided. We also work with AWS and Google (GCP). They are compatible with the Dockers and Kubernetes technologies.

Recommended Resources

SAS Event Stream Processing Product Page (Free Trial available here)

Understanding Streaming Analytics e-book

IoT Community Master Class: Streaming Analytics

SAS Global Hackathon

SAS and Microsoft Partnership Press Release

Want more tips? Be sure to subscribe to the Ask the Expert board to receive follow up Q&A, slides and recordings from other SAS Ask the Expert webinars.  

[janehowell]

For those interested in using SAS Event Stream Processing to solve business problems, don't miss the upcoming SAS Global Hackathon.  There will be an AI + IoT (AIoT) Track.  Teams will be entered to win a chance to develop their solution in our Labs!  Here are some details on the AIoT Track:

The Connected World:  AI + IoT (AIoT) for Digital Transformation

Solve your business challenge by connecting and analyzing data from sensors, devices and machines using SAS Event Stream Processing and Viya, then deploying insights back in the Azure cloud.  

Teams that choose this Track will focus on addressing challenges in a variety of industries using AI and streaming analytics, including:

• Agriculture
• Energy and Utilities
• Government and Smart Cities
• Healthcare
• Industry 4.0 and Manufacturing
• Transportation and Aviation

Registration for the AIoT Track opens on December 17 ! 
https://www.sas.com/sas/events/hack-in-sas.html