Overview
SAS Viya supports every stage of the analytics life cycle, including DataOps, AI, and ModelOps processes, so you can put insights into production with just a few clicks. Plus, AI-driven automation makes preparing data, building and deploying models, and sharing project results quicker and simpler than ever. With SAS Viya, you can access and prepare data from any source, build analytic models faster using advanced machine learning algorithms, move models to production seamlessly, make the best decision every time, democratize advanced analytics, and apply total governance.
Highlights
- Fast execution of data and AI tasks with significant scalability, ideal for handling large data sets efficiently saving both time and money.
- Advanced Data Management capabilities including data import, cleansing, and transformation from multiple data sources.
- All teams can work together. Whether you prefer to write code or drag-and-drop; program in SAS, R, or Python; you can build best-in-class AI models your way. From computer vision to optimization and more.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial release
Additional details
Usage instructions
Instructions how to deploy Viya SAS Terraform infrastructure: https://github.com/sassoftware/viya4-iac-aws/blob/main/docs/user/TerraformUsage.md Instructions how to configure a cluster using Ansible: https://github.com/sassoftware/viya4-deployment/blob/main/docs/user/AnsibleUsage.md
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To help you get started with this product please contact MIA Analytics at 09-9712626
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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