数据获取：用于获得、清洗、转换和集成数据的ETL(提取、转换和装入)过程。

Data acquisition: ETL (Extraction, Transformation, and Loading) processes to acquire, clean, transfer, and integrate data.

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对ETL数据清洗转换进行了介绍，主要阐述了数据质量问题在数据仓库解决方案中的重要地位、数据质量的分类，同时对本课题中的ETL的设计和实现进行了描述。

And introduce the ETL, illustrate the importance of data quality in this subject, and the classification of data quality, and also illustrate the design and implement of ETL.

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数据获取是获取，集成，转换，清洗，重构和数据加载到数据仓库和ODS系统的一系列的过程。

Data Acquisition is the set of processes that capture, integrate, trans-form, cleanse, reengineer and load source data into the data warehouse and operational data store.

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