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SAS® Viya® Workbench Purchase

作者 SAS Institute Inc.

(811 評分)

Self-service AI/ML development on Azure - code in SAS, Python, or R. Auto-scaling, auto-terminating.

OVERVIEW

[This is Step 1 of 2]

SAS Viya Workbench gives your data science or developer team access to scalable Azure compute - GPU or CPU - without infrastructure headaches. Code in SAS, Python, or R using VS Code, Jupyter, or SAS Enterprise Guide.

SAS VIYA WORKBENCH BENEFITS

Workbench solves key challenges developers, modelers and data scientists face when developing analytical and machine learning models:

Instead of struggling with multiple development environments and different coding languages, you get a unified cloud workspace. Use SAS, Python or R through familiar tools like VS Code or Jupyter Notebook. No more time wasted on environment setup, database connections or ensuring consistent results across different platforms.

Teams can focus on what matters: rapid experimentation and development of models that deliver reliable results regardless of programming language.

WHAT INDUSTRIES DOES SAS VIYA WORKBENCH SUPPORT?

Workbench is incredibly versatile and supports virtually any industry where data analysis is crucial, including but not limited to:

✓ Financial services

✓ Health care and life sciences

✓ Government and public sector

✓ Telecom

✓ Manufacturing

✓ Retail and consumer goods

✓ Agriculture

GETTING STARTED:

Watch this first: Purchasing and Deploying SAS Viya Workbench on Azure (9 min)

  • Step 1: [You are here] Purchase now through Microsoft Marketplace.

  • Step 2: After completing the purchase, you will receive a linking code to deploy the application’s data plane.

  • Step 3: Then, proceed with the SAS® Viya® Workbench Deployment step to deliver the managed application within your Azure subscription. Microsoft Azure costs will be incurred by the deployment.

WHAT OUR USERS ARE SAYING?

“A major advantage is the flexibility it provides for my coding experience. Whether I’m creating a web app, testing an API, creating a machine learning pipeline or exploring some big data stored in the cloud, it allows me to select the right machine and IDE for each of those jobs.”

“There is essentially no learning curve. And as a developer, I could easily get started with just using the Viya models in Python without having to read up on the documentation.”

概覽

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