Advancing Data Governance: RBAC for Data Lakes

Join us in this 2-part series

These sessions will break down everything you need to know about data governance for data lakes.

We will showcase how to use lakeFS to quickly secure your version controlled data lakes using RBAC functionality of lakeFS.

Role-Based Access Control (RBAC), also known as role-based security, is a mechanism that restricts system and data access. It involves setting permissions and privileges to enable access to authorized users. Most organizations use role-based access control to provide their users with varying levels of access based on their roles and responsibilities. This protects sensitive data and ensures users can only access information and perform actions they need to do their jobs.

When deploying version controlled data lakes, you’re likely to have similar requirements. You’ll want to give all your data engineers, data scientists, and data practitioners access to it since it’s going to be the heart of the data platforms they’re working on. However, not all users are created equal, and this is where Role-Based Access Control comes in.

Register for the second part in this series, where we will cover data lineage and auditing.