| 摘要 |
According to examples, data reliability analysis may include scanning a component of a data supply chain, and determining, based on the scanning, configurations of the component. Data reliability analysis may further include analyzing the configurations, and detecting, based on the analysis of the configurations, a change in at least one of the configurations. The change may be compared against a corresponding configuration rule to determine whether the change is a defect that affects consistency of data related to the component. In response to a determination that the change is the defect, a solution related to the defect may be determined based on the corresponding configuration rule. A configuration of the component may be modified, based on the solution related to the defect, to correct the defect that affects the consistency of the data. |
