Introduction
In modern data platforms, granting or denying access to entire tables is rarely sufficient to meet real-world security and governance needs. Organizations must often expose only a subset of data, protecting sensitive information while maintaining analytical utility. Azure Databricks Unity Catalog provides robust fine-grained access control mechanisms that allow you to manage data visibility at the row and column level without duplicating datasets or creating unnecessary complexity.
In this module, you'll explore the two primary approaches—Row and Column Security and Dynamic Views—understand when to use each, and see why modern architectures favor table-level controls. You'll also learn how Lakehouse Monitoring supports ongoing data quality and model performance tracking, ensuring that your lakehouse remains secure, reliable, and transparent as data evolves.