


Securing data in Snowflake goes beyond setting passwords. Without understanding authentication methods, access control frameworks, and data masking policies, organizations risk exposing sensitive data, failing compliance audits, and losing customer trust.
Misconfigurations like missing network policies or improper role hierarchies can grant unauthorized users access to production databases. Sensitive information like phone numbers and addresses remain unprotected without column-level security. These gaps create compliance violations and security breaches.
Through interactive scenarios featuring Vinay, a Data Engineer, and Rahul, a Senior Architect, you'll explore real-world security challenges. Each scenario includes hands-on examples, SQL code snippets, and knowledge checks to reinforce learning.
What You'll Learn:
Authentication & Identity Management
Data Protection & Privacy
Access Control & Role Management
Network Security & Governance
By the end, you'll understand Snowflake's security layers—so you can protect sensitive data with masking policies, control access through role hierarchies, and meet compliance requirements with audit logs. Test your knowledge throughout with scenario-based questions.