Views are composed of columns and pseudo columns. Views are similar to tables in the way that data is represented; however, views do not support updates. Entities that are represented as views are typically read-only entities. Often, a stored procedure is available to update the data if such functionality is applicable to the data source.
Queries can be executed against a view as if it were a normal table, and the data that comes back is similar in that regard.
Dynamic views, such as queries exposed as views, and views for looking up specific combinations of project_team work items are supported.
CData Python Connector for Azure Data Lake Storage Views
|Lists the contents of the supplied path.