Snowflake - Build and Architect Data Pipelines Using AWS - Lab - How Can Pushdown Expose the Underlying Data?

The video tutorial explains how data can be indirectly exposed through SQL views and user-defined functions (UDFs) in Snowflake. It demonstrates creating views with specific conditions and how unauthorized users might deduce information from them. The tutorial also covers the risks associated with UDFs and how they can reveal underlying queries. The video concludes with a promise to discuss secure UDFs in the next session.

What does the term 'pushdown' refer to in the context of SQL views?

Describe the purpose of the view 'line_items_rail' created in the text.

How can granting access to a specific view limit a user's ability to see other data?

What is the significance of the division by zero error mentioned in the text?

Explain how a user-defined function (UDF) can expose data indirectly.

What are the potential risks of using views and UDFs in terms of data security?

What measures can be taken to avoid data exposure when using views and UDFs?