SAS Viya Workbench on Amazon Web Services (AWS) is designed to help data scientists and developers expedite analytics innovation. By providing a cloud-based environment, it allows teams to focus on model building rather than infrastructure management, addressing common challenges like environment configuration and security approvals.
Key Features:
- Unified Environment: Supports Python, R, and SAS within a single platform.
- Elastic Scalability: Automatically adjusts compute resources based on workload demands.
- Data Custody: Maintains data within the AWS account while SAS manages orchestration.
Challenges in Traditional Analytics:
Data scientists often face obstacles such as:
- Time-consuming software installations and configuration.
- Limited access to tools leading to inefficient collaboration.
- Compliance delays due to lengthy IT approval processes.
These issues can hinder productivity and slow down the analytics process.
Split-Plane Architecture:
The split-plane architecture of SAS Viya Workbench separates the control plane from the data plane. This design ensures:
- All compute resources and data storage remain within the organization's AWS account.
- SAS manages user access and orchestration without accessing sensitive data.
- Enhanced security with encrypted connectivity.
This architecture allows organizations to leverage SAS's analytics capabilities while maintaining control over their data.
Industry Applications:
Various sectors are utilizing SAS Viya Workbench to enhance their analytics initiatives:
- Life Sciences: Teams analyze genomic data efficiently using R and SAS.
- Financial Services: Improved fraud detection through integrated machine learning and regulatory models.
- Manufacturing: Real-time analytics for supply chain optimization.
- Retail: Personalized shopping experiences through advanced customer behavior analytics.
Benefits for Organizations:
By adopting SAS Viya Workbench, organizations can:
- Reduce development time with prebuilt templates and built-in Git support.
- Enhance collaboration through a shared workspace.
- Focus on generating insights rather than managing infrastructure.
Next Steps:
To explore SAS Viya Workbench, organizations can visit the AWS Marketplace. This solution offers a compelling opportunity for those looking to modernize their analytics capabilities while ensuring compliance and security.
