The challenge of securing data in the data lake or lake house

Securing data in a data lake or lake house presents challenges due to the different manifestations of data. Historically, organizations had to manage security for each manifestation, such as raw files and tables in the query tool, which required different security models. However, advancements like Databricks' Unity Catalog are simplifying this by focusing on securing tables and views, removing the need to provision access to the underlying files separately. This convergence around a SQL-like model is beneficial for standardization and simplification.