The Summarization and Pruning feature

The Summarization and Pruning feature provides the ability to customize the length of time to save data (pruning) and how often to compress data (summarization) in the Tivoli Data Warehouse.

As the size of the data grows, so does the need for more powerful tools to administer and manage the information. OMEGAMON XE for DB2 PE Version 410 now supports configurable data summarization and data pruning. With summarized data, the performance of queries can be improved dramatically. In addition, with data summarization and data pruning working together, the amount of disk space utilized can be better managed.

The Summarization and Pruning feature uses information that is stored in the data warehouse to generate, store, and prune data. The data in the data warehouse is a historical record of activity and conditions in your enterprise. Summarizing the data is the process of aggregating your historical data into time-based categories such as hourly, daily, weekly, and so on. You can summarize your data to perform historical analysis of the data over time.

Pruning data means that old data is deleted automatically, rather than manually. You can set pruning criteria to remove old data from the data warehouse to limit the size of your database tables.