Summary of maintaining rows in a memory contianing data.
In this tutorial, you defined count-based and time-based windows, both sliding and jumping, to maintain rows in memory containing stock trade information based on a variety of window policies. You also performed calculations across the rows in the window, including sums and averages, and explored the difference between a named and an unnamed window.
You can use these techniques in a broad range of applications, such as counting the number of users who click each link on a specific Web site page, or tracking the applications using the most memory on a particular server, or validating travel time of a particular part through the manufacturing process.
The next tutorial in the series allows you to correlate data from multiple sources.
For more information about topics covered in this tutorial, see Create Window Statement and Sybase CEP Functions in the Sybase CEP CCL Reference Guide .