Oracle updating through view

Choose the partitioning strategy of the materialized view in sync with the A particularly effective way of removing and archiving your data is through the use of a rolling window.An example of using a rolling window is when the data warehouse stores the most recent 36 months of sales data.

In this very common scenario, the data warehouse is being loaded by time.

This suggests that the data warehouse tables should be partitioned on a date column.

A view object named Provide an additional level of security by restricting access to a predetermined set of rows and columns.

For example, you could create a view object where columns containing sensitive data (such as salaries) are not selected. A query could perform extensive calculations on table data.

The view object defines the attributes of the view row class, which represents a row in the query result, and optionally refers to underlying entity objects.

View objects provide clients with row sets they can scroll through and update without concern for or knowledge of the underlying entity objects.

Once all of this data has been loaded into the data warehouse, the materialized views must be updated to reflect the latest data.

The partitioning scheme of the data warehouse is often crucial in determining the efficiency of refresh operations in the data warehouse loading process.

The loading process is often considered when choosing the partitioning scheme of data warehouse tables.

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