因此，以服务的形式提供数据清理需要进行很大的调整，因为需要为不同的数据集定制该工具(QualityStage Standardization RuleSet)。
Thus, offering data cleansing as a service has been a challenge because of the need to customize the tool (QualityStage Standardization RuleSets) for different datasets.
调优很大程度上需要理解组件的工作原理，确定它们是否正常工作，进行一些调整，并重新评测。
Tuning is largely about understanding how things work, determining if they're working properly, making adjustments, and re-evaluating.
由于传统应用程序体系结构的不灵活性，即使很小的改进也需要花费很大的成本，因而几乎不可能进行调整。
The traditional inflexibility of application architectures makes even small improvements so expensive that they become virtually impossible to justify.
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