inconsistency of data distributions 数据分布不一致性
The most difficult problem in vector-vector data fusion is the multi-source and inconsistency of data.
矢量空间数据融合中最难的问题来自于数据的多源性、不一致性。
UR ensures the highest level of performance at the cost of some data inconsistency.
UR 以牺牲某些数据的不一致性为代价，确保了最高级别的性能。
This is just one of many examples illustrating how data inconsistency can occur, even when compensation frameworks are used to maintain transaction atomicity.
这是众多例子中的一个，仅此说明数据的不一致是如何发生的，即使使用了补偿框架来维持事务原子性。
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