Almost any data consolidation scenario with tasks (such as joins, merges, filtering, and aggregations) that can reduce input data early in the data flow can benefit from T-ETL processing.
凡是具有能在数据流早期减少输入数据的作业(例如连接、合并、过滤和聚合)的数据整合场景，几乎都能从t - ETL处理中受益。
The four use cases described above are all typical data consolidation scenarios that benefit from employing a T-ETL approach to move and transform data.
前面描述的4个用例都是能从采用T - ETL方法移动和转换数据中受益的典型数据整合场景。
Uganda should benefit from recent oil finds in Lake Albert, but many worry tha t its government may spend too much of the cash on the armed forces.
乌干达或许将大大获益于新近在阿尔伯特湖附近发现的油田，但人们担心它会以此在军费上花费太多现金。
Identify jobs that will benefit from t-etl.
识别可从t -ETL中获益的作业。
Identify jobs that will benefit from t-etl.
识别可从t -ETL中获益的作业。
应用推荐