Due to the information islands and data gap appeared in enterprise, Enterprise Integration becomes more and more important.
由于目前企业普遍存在的信息孤岛林立和数据断层的局面，企业内部以及企业之间的集成日益重要。
This process can contribute to subsequent Attribute or data Gap Analyses in mapping data sources against target model through the defined terms.
这个过程有助于在后面的属性或数据差异分析中通过定义的术语将数据源映射到目标模型。
Where the target model is spread across multiple tables, the data Gap Analysis must also consider data keys and key relationships to effectively link data elements together.
如果目标模型跨多个表，数据差异分析还必须考虑数据键和键关系，以便有效地链接数据元素。
Data gap processing techniques are applied to ensure the latest data are synchronized to provide accurate real-time outputs.
采用数据间隙处理技术，以确保最新数据的同步，保证精确的实时输出。
Data gap processing techniques are applied to ensure the latest data are synchronized to provide accurate real-time outputs.
采用数据间隙处理技术，以确保最新数据的同步，保证精确的实时输出。
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