When you implement an OLTP system, you do not stop with the deployment. The database administrator continues to inspect system performance. The project team continues to monitor how the new system matches up with the requirements and delivers the results. Monitoring the data warehouse is comparable to what happens in an OLTP system, except for one big difference. Monitoring an OLTP system dwindles in comparison with the monitoring activity in a data warehouse environment. As you can easily perceive, the scope of the monitoring activity in the data warehouse extends over many features and functions. Unless data warehouse monitoring takes place in a formalized manner, desired results cannot be achieved. The results of the monitoring gives you the data needed to plan for growth and to improve performance.

Figure 20-1 presents the data warehousing monitoring activity and its usefulness. As you can observe, the statistics serve as the life-blood of the monitoring activity. That leads into growth planning and fine-tuning of the data warehouse.

20.2.1. Collection of Statistics

What we call monitoring statistics are indicators whose values provide information about data warehouse functions. These indicators provide information on the utilization of the hardware and software resources. From the indicators, you determine how the data warehouse performs. The indicators present the growth trends. You understand how well the servers function. You gain insights ...

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