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Table and Column Definitions Report Filename: Run by: Report Date: Total Pages: Total Tables / Views / Materialized Views:h:CLIENT_table.pdf GRUFF July 31, 2008 01:00 PM 53 44Parameters Work area:
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01
Identify the data sources that you want to create materialized views from.
02
Determine the most efficient way to extract and transform the data into the desired format.
03
Set up a schedule for the automated generation of materialized views to ensure they are always up to date.
04
Monitor the performance of the materialized views to make sure they are providing the desired results.

Who needs automated generation of materialized?

01
Data analysts and data scientists who need quick access to pre-aggregated data for analysis.
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Business intelligence teams who need to speed up query performance on large datasets.
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Companies who want to reduce the load on their operational databases by pre-calculating and storing query results.
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Automated generation of materialized is the process of creating materialized views in a database automatically based on certain criteria.
Database administrators or IT professionals responsible for managing database performance may be required to file automated generation of materialized.
Automated generation of materialized can be filled out by specifying the tables and columns to be included in the materialized views, as well as the criteria for refreshing the views.
The purpose of automated generation of materialized is to improve query performance by pre-computing and storing the results of complex queries.
Information such as the tables and columns included in the materialized views, the refresh schedule, and any performance metrics may need to be reported on automated generation of materialized.
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