M1V2 Learning Objectives

Unlock the full potential of Qubole’s data security and privacy features to safeguard your analytics and machine learning workflows. This course offers a deep dive into how you can integrate robust security measures within your QDS (Qubole Data Service) environments, ensuring the utmost protection for your data at every stage.

What You’ll Learn:

Security Architecture Overview:
- Gain a comprehensive understanding of QDS’s security architecture and how it protects your data whether at rest, in transit, or in use.
Data Protection:
- Learn about the mechanisms and controls Qubole provides to secure your data across different states: at rest in storage, in transit between services, and in use within the platform.
Secure Communication:
- Discover how to secure communications between QDS and your environments, ensuring data privacy and integrity.
Access Control:
- Understand how to effectively control platform and data access, tailoring permissions and security measures to meet your organization’s needs.

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