Snowflake Security

Snowflake is the fastest growing cloud data warehouse in the world, and having the right methodology to protect the data is important both to data engineers and security teams. It allows for faster data enablement for organizations, as well as reducing security risks, meeting compliance requirements, and solving data privacy challenges.

There are currently tens of thousands of people who are either data engineers/data ops in Snowflake-using organizations, or security people in such organizations. This book provides guidance when you want to apply certain capabilities, such as data masking, row-level security, column-level security, tackling rolehierarchy, building monitoring dashboards, etc., to your organizations.

What You Will Learn

• Implement security best practices for Snowflake
  
• Set up user provisioning, MFA, OAuth, and SSO
• Set up a Snowflake security model
• Design roles architecture
• Use advanced access control such as row-based security and dynamic masking
• Audit and monitor your Snowflake Data Cloud

Who This Book Is For

Data engineers, data privacy professionals, and security teams either with security knowledge (preferably some data security knowledge) or with data engineering knowledge; in other words, either "Snowflake people" or "data people" who want to get security right, or "security people" who want to make sure that Snowflake gets handled right in terms of security