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SAS® for Containers

Bringing speed, agility and scale to cloud deployments.

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Why choose SAS® for Containers?

Support your data scientists' need for powerful analytics while taking advantage of cost-efficient cloud infrastructures. Container deployments of SAS execution engines support Docker and Kubernetes, enabling you to provide your data science teams with a flexible and efficient way to execute SAS workloads.

Faster, Easier Deployment

Easily deploy SAS execution engines into containers, and run them in any platform that supports the use of Docker. Build a single image, and deploy as needed in the cloud of your choice – build once, deploy many.

Unified Analytic User Community

Running SAS in a container enables data scientists to call any of the advanced analytic algorithms in SAS from Python, R, Lua or SAS. This makes the power of SAS analytics accessible to your organization's entire data science community.

Efficient Use of Cloud Computing Resources

Container deployments are lightweight and don't carry as much overhead as traditional virtual machines. By running a SAS engine inside a container, you can provision resources more efficiently to address a wide variety of SAS workloads.

Support for Custom Configurations

Choose a fixed container with specific SAS products for immediate deployment. Or select a base recipe, and create custom containers with specific products or configurations – e.g, access to data sources, in-database code and scoring accelerators, or specific analytic capabilities.

Get to Know SAS® for Containers

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Easily deploy SAS® Analytics within container-enabled infrastructures, and make software management and deployment much easier.

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DEPLOYMENT BRIEF

 

SAS® for Containers: Bringing speed, agility and scale to cloud deployments

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BLOG

 

An Introduction to SAS for Containers

Get an introduction to SAS for Containers and discover how using containers can help your organization's technology and cloud strategy.

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RESEARCH BRIEF

 

Field Experience in Advanced Analytics

Learn how organizations are applying expertise and using the latest methods to move analytics to the cloud.

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