【摘要】 DB-ODS-DW三层体系结构满足了信息处理的多层次需求,ODS在其中承担了重要的角色.为了提高ODS中的数据质量,进入到ODS环境中的数据必须经过清洗.在给出ETL过程中数据清洗模型的基础上,针对已知和未知的错误类型,以及语义上的错误,提出了一种自动清洗和人为清洗相混合的数据清洗策略,具有较好的现实意义.更多还原

【Abstract】 The three level architecture of DB-ODS-DW satisfies the multi-level requirements of information processing,in which ODS has taken an important role.In order to improve the data quality of ODS,the data cleansing operation need to be used in ODS environment.After discussing the data cleansing model in ETL,and to solve the known or unknown error and semantic error,this paper proposes a data cleansing strategy of combination of automatic and manual methods that has a better realism significance.更多还原