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Oracle Tips 

by Burleson Consulting

The Data Warehouse Development Life Cycle

Data Aggregation And Drill-Down
One of the most fundamental principles of the multidimensional database is the idea of aggregation. As we know, managers at different levels require different levels of summarization to make intelligent decisions. To allow the manager to choose the level of aggregation, most warehouse offerings have a "drill-down" feature, allowing the user to adjust the level of detail, eventually reaching the original transaction data. For obvious performance reasons, the aggregations are pre-calculated and loaded into the warehouse during off-hours. (See Figure 6.2.)

Figure 6.2 Levels of pre-aggregation of summary data.

Of the several types of aggregation, the most common is called a roll-up aggregation. An example of this type of aggregation would be taking daily sales totals and rolling them up into a monthly sales table. These types of summaries are easily computed from the base data warehouse by using the SQL SUM operator.

The more difficult type is the aggregation of boolean and comparative operators. For example, assume that a salesperson table contains a boolean column called turkey. A salesperson is a turkey if his or her individual sales are below the group average for the day. A salesperson may be a turkey on 15 percent of the individual days; however, when the data is rolled up into a monthly summary, a salesperson may become a turkey even if they only had a few (albeit very bad) sales days.


This is an excerpt from "High Performance Data Warehousing". To learn more about Oracle, try "Oracle Tuning: The Definitive Reference", by Donald K. Burleson.  You can buy it direct from the publisher at 30% off here:
http://www.rampant-books.com/book_1002_oracle_tuning_definitive_reference_2nd_ed.htm
 

 


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