The federated optimizer also allows the T-ETL solution to be adaptive, as the best join strategy and link ordering may change as the characteristics of the data in the job change.
联邦优化器还使t - ETL解决方案更具有可适应性，因为当作业中数据特征发生变化时，最佳连接策略和链接顺序也可能随之变化。
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 T-ETL job shown in Figure 4 executed in just 127 seconds -- an overall elapsed time improvement of 38 percent.
而图 4 中显示的 T-ETL 作业的执行时间只有 127 秒 —— 总体执行时间缩短了 38% 之多。
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