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Materialized views are similar to views in that they’re essentially views that have a query built into its definition, and the query uses that view to fetch data from the database table.
The code for each step is shown in Listing C: 1. Set the initialization parameters and bounce the database. 2. Create the materialized view table. Here, we specify that the materialized view will ...
Oracle's answer to this dilemma is the materialized view. Database designers can use materialized views to prejoin tables, presort solution sets, and presummarize complex data warehouse information.
Ultimately, the materialized view qualifies as little more than a DBMS-based rendition of a cute pet trick. If a table is needed to improve performance, just build a table and be done with it. The ...
Google Bigtable is getting support for materialized views and support for Oracle Database in Google Cloud is also expanding. However, the biggest and most transformational news, at least from a ...
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. For instance, Jassy said, a programmer ...
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