ZS Democratizes Secure Ad-Hoc Analytics with Amazon SageMaker
Key takeaways
- SageMaker can be scaled to support thousands of users for ad-hoc analytics.
- Balancing developer agility with strict governance is achievable.
- Security hardening is critical for regulated industries like healthcare.
- Democratizing analytics empowers a wider range of users.
Who benefits
Summary
ZS built a security-hardened Amazon SageMaker platform that balances developer agility with healthcare-grade governance, enabling over 1,000 daily active users across 200+ SageMaker domains to perform secure ad-hoc analytics.
Why it matters
This case study demonstrates how large organizations can provide broad access to powerful analytics tools like SageMaker while maintaining strict security and governance, which is crucial for regulated industries.
How to implement this in your domain
- 1Design a centralized platform for data science and analytics that integrates security from the ground up.
- 2Implement granular access controls and data governance policies suitable for sensitive data.
- 3Leverage cloud services like Amazon SageMaker for scalable and managed analytics environments.
- 4Balance developer flexibility with enterprise-grade security requirements.
- 5Provide training and documentation to empower a large user base to utilize the platform securely.
Original post by Sudhir Schar
"Learn how ZS built a security-hardened Amazon SageMaker platform that balances developer agility with healthcare-grade governance, serving 1,000+ daily active users across 200+ SageMaker domains."
View on XOriginally posted by Sudhir Schar on X · view source
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