Online Help for Administrators > Monitoring SHR > Monitoring the SHR content

Monitoring the SHR content

In SHR, a fact table consists of the measurements or facts of a business process. It is often located at the center of a star schema or a snowflake schema, surrounded by dimension tables. The dimension tables contain attributes (or fields) used to constrain and group data when performing data processing queries. Fact tables are often defined by their grain. The grain of a fact table represents the smallest level by which the facts may be defined. For example, the grain of a CPU fact table might be stated as CPU utilization every five minute or CPU utilization every day. In the SHR database, the raw data that is collected is stored as unique records in fact tables called raw tables or rate tables (stores 5-minute data). The database then performs summarization routines on the raw data and converts it into hourly, weekly, monthly, and yearly data. The converted data is stored in hourly, weekly, monthly, or yearly fact tables.

SHR allows you to monitor the data throughput, that is, the volume of data that is stored in the database, for specific Content Pack component. Using the SH Reporter Content page, you can monitor the growth of the fact tables for a specific Content Pack component.

Using this page, you can perform the following tasks:


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