The solution is to use SQL views, materialized views, or create a new table that contains only the filtered data the user needs.

This article explores the internals of materialized views and demonstrates how to precompute complex aggregates—having Oracle dynamically rewrite SQL to reference precomputed aggregate information.

Materialized views allow subsecond response times by precomputing aggregate information, and Oracle9 i dynamically rewrites SQL queries to reference existing materialized views.

<para>We consider a variant of the view maintenance problem: How does one keep a materialized view up-to-date when the view definition itself changes? Can one do better than recomputing the view from ...

Incrementally maintains the results of SQL queries as materialized views, in-memory or on cloud storage, providing millisecond-level latency on complex transformations, joins, or aggregations.

That AWS ETL service allows programmers to write a little bit of SQL code to have a materialized view that can move from one source data store to another.

Then the view can be queried using a separate SQL query. The database engine effectively combines the two, but the outermost query can be very simple, with complex joins hidden from that final query ...