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DataCleaner is a data quality analysis tool that allows you to perform data profiling, validating, and minor ETL-like tasks. These activities help you administer and monitor your data quality in order to ensure that your data is useful and applicable to your business situation. It can be used for master data management (MDM) methodologies, data warehousing projects, statistical research, preparation for extract-transform-load activities, and more.

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2011-03-07 22:59 Back to release list
2.0.2

首次易用性进行了改进，禁用所有的按钮，然后选择数据源。如果有可能在工作中，过滤器现在有以优化工作查询的能力。这是实施“最大行”，“等于”和“非空”过滤器。执行流程可视化现在允许删除列项目及项目筛选的结果，使图形更容易理解，尤其是非常大的工作。一个错误是固定的，当空值传递到电子邮件standardizer。 “混合”令牌是正确的模式呈现在取景器。
标签: Minor feature enhancements, UI improvements, Minor bugfixes
First-time ease of use was improved by disabling all buttons before source data is selected. When possible in a job, filters now have the ability to optimize the query of a job. This was implemented for the "Max rows", "Equals", and "Not null" filters. The visualization of execution flow now allows removing column items and filter outcome items, making the graph more comprehensible, especially for very large jobs. A bug was fixed when passing null values to the the email standardizer. "Mixed" tokens are properly presented in the the Pattern finder.

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