Integrating SAS Viya in Azure: A Retail Industry Breakthrough

Project Overview

As a Cloud Architect and DevOps Engineer, my project involved the deployment of SAS Viya in an Azure Cloud environment for a retail client. The project's focus was on enhancing data analytics capabilities and streamlining operations through cloud-native solutions and automation.

Challenges & Solutions

The project tasks included:

• Azure Cloud Infrastructure: Designing and implementing a scalable and secure cloud architecture
• Kubernetes Deployment: Managing SAS Viya deployment in a containerized environment
• Integration Management: Handling third-party tools and services integration
• Data Source Connectivity: Ensuring seamless data source connectivity and management
• Identity Management: Implementing secure identity management with Azure Entra ID

Technologies Employed

The project utilized:

• Cloud Platform: Microsoft Azure
• Container Orchestration: Kubernetes
• Analytics Platform: SAS Viya
• Infrastructure as Code: Terraform
• CI/CD: Azure DevOps
• Monitoring: Azure Monitor, Log Analytics
• Security: Azure Key Vault, Azure Entra ID

Impact and Outcome

This development led to:

• Enhanced Analytics: Advanced data analytics capabilities for retail operations
• Scalable Infrastructure: Robust cloud architecture supporting growing data needs
• Streamlined Operations: Automated processes improving operational efficiency
• Security Improvements: Enhanced security and compliance measures
• Data-Driven Decisions: Better decision-making through improved analytics

Conclusion

This SAS Viya Azure integration project demonstrates the importance of cloud-native solutions in modern analytics platforms, showcasing how proper infrastructure planning, automation, and security measures can significantly enhance business operations and decision-making capabilities.