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1·Risk areas to apply the data cleansing pattern.

不应该应用数据清理模式的领域。

2·Value proposition of the data cleansing pattern.

数据清理模式的价值主张。

3·The development costs depend largely on the complexity of the data cleansing task.

开发成本主要取决于数据清理任务的复杂性。

4·Data cleansing is an important step both in data warehousing and data mining.

数据清洗是数据仓库和数据挖掘中非常重要的一个环节。

5·The data cleansing service receives data with an undetermined level of data quality as input.

数据清理服务接受数据质量为未确定的数据作为输入。

6·As you might imagine, design is the most critical and complex phase in the data cleansing process.

正如您可能想到的，设计是数据清理流程中最重要和最复杂的阶段。

7·In many cases, the data cleansing pattern is applied together with the data consolidation pattern.

在很多情况下，数据清理模式与数据整合模式一起应用。

8·An important aspect of the data cleansing pattern is its focus on reusability at an enterprise level.

数据清理模式的重要方面是，其注重企业级的可重用性。

9·Therefore, the data cleansing server needs to be able to scale in order to process large data volumes.

因此，数据清理服务器需要能够进行扩展，以处理大量数据。

10·The SOA context for data cleansing allows for standardization and matching of individual request strings.

数据清理的soa上下文允许对各个请求字符串进行标准化和匹配。