In the context of a lakehouse, what is a key advantage of using views?

Using views in the context of a lakehouse architecture is advantageous because they enable easy referencing of multiple tables. Views are virtual tables that do not store data themselves but rather provide a way to represent data from one or more tables in a specific format or arrangement. This allows users to create simplified representations or complex queries over different datasets without the need to create physical copies of the data.

In a lakehouse, where data might be stored across various sources in its raw form, views allow users to easily access and manipulate that data for analysis or reporting. By using views, analysts can quickly pull together information from different tables, join datasets, filter data, or aggregate results, facilitating efficient data interactions and supporting diverse analytical workloads without the overhead of maintaining additional copies of data.

This capability contributes to effective data management in a lakehouse environment, enabling agility and flexibility in data analysis.