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Spending extra time during the design of product usually translates to better performance of the final product. The same holds true for databases and applications. Skipping or ignoring such vital design time may negatively affect the performance of the final database and any applications built off of it.

This results in DBAs spending untold hours on finding and fixing issues that could have been found in a more robust database planning phase.

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Better Designs Translates to Better Oracle Performance

You must consider several key elements when designing applications for Oracle database server. Following a few general guidelines will help you avoid the necessity of too much time spent with database tuning to achieve optimal Oracle performance.

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Oracle Performance and Data Modeling

Your data model determines the amount of work an application must do satisfy a database request. Small changes in the data model can have wide-ranging effects on the performance of your database. The following data modeling principles will help you maximize Oracle performance:

-           Normalize your data – redundancies, incorrect, and ambiguous data must be scrubbed

-           Keep entity subtypes to two or less to avoid joins that slow down performance

-           Improve performance through denormalization of some data that is best replicated to avoid joins and summary tables

-           Partitioning increases performance – Parallel operations and data purges can be made much faster by partitioning

-           Use indexes and clusters for the appropriate situation. The B*Tree index can be applied to most situations, but you can also optimize queries with hash clusters and bitmap indexes

-           Concatenated indexes are more effective than single column indexes

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Minimize Database Tuning with Better Data Modeling

Data modeling is much larger topic than we’ve accounted for here. You could read a new book every day for year on the subject.

Rest assured that, by following proper data modeling procedures at the start of your database design, you will greatly reduce the time and labor necessary for database tuning later.