White Papers
The Case for Data Assurance
Overview Monitoring data contains errors, errors which can and do affect the decisions made by the automatic control and management systems. To support the increasing scale and complexity of IT environments, it is imperative that data quality problems be recognized before automated systems act on the data. The authors believe this need can be met with a data assurance layer, which sits between the data collectors and consumers (human or software), and which is responsible for informing the data consumers about its quality. In this paper, the authors lay the groundwork for this layer by examining the imperfections that exist in monitoring data, and then identifying some promising directions for further investigation.
| Publisher | Hewlett-Packard | File Format | |
|---|---|---|---|
| Date Published | March 2005 | Downloads | 6 |
| Format | White Papers | ||
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