summary table

Another way is to have the extract, transform, and load (ETL) process update the summary table as it loads the fact table.

Not unexpectedly, a query against the summary table at this point returns no data.

Ideally, the structure of the data warehouse offers a summary table for any question that business users want to ask.

Finally, the staff member analyzes the metadata information about the last ETL job LOAD_SALES_SUM, populating the summary table.

As the user drills down into more detail, each summary table contains more rows, until the user reaches the fact table (see Figure 1).

The summary table at the top of the pyramid is small, so queries on it are very fast.

Another query against the summary table returns no data as well.

A summary table stores data that has been aggregated in a way that answers a common (or resource-intensive) business query.

Your top-level summary table may have about 100, 000 records; the next-level summary table will probably have millions of records.

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That way you never have to worry about building the summary table again and again.

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A summary table is a table whose definition is based on a result of a query.

In addition to a summary table some specific examples are given of questions and the results they produced.

First he looks at the underlying database summary table.

We built a summary table that aggregated the income and expense detail to show the end result for each transaction.

When they found issues that required more detail, they could then drill down into another summary table or the detail fact table.

In this tutorial, we have investigated the background of J2ME studied J2ME configuration and summary table.

Listing 4 shows an example of using a staging table with a summary table.

Listing 3 shows a simple example of creating a summary table.

The summary table, which is named EMP_SUMMARY, is based on the underlying table EMPLOYEE in the SAMPLE database.

From the summary table, they can then pick the dimensions that they want to drill down into and see more detail.

The COUNT function is very useful to show at any level how many records make up each aggregated row in the summary table.

For example, a summary table would have hyperlinks to the data supporting the table entry ?

However, if you have some data which is fairly static, you can create a summary table with the aggregator.

However, DB2 will optimize the re-computation as best it can, such as by scanning the summary table instead of the entire base table.

For a summary table comparing the ClickOnce and Windows Installer technologies, see the ClickOnce and Windows Installer Comparison Table in

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