The primary usage of Xdmx is in large-scale display systems at universities and research institutions focusing on visualization of large datasets.
Xdmx的主要用途，是在专门研究大型数据集的可视化的大学和研究机构中，用作大型显示系统。
Myth: XQuery will not scale to handle large datasets; XQuery will never be as fast as relational databases
神话：XQuery不能处理大型数据集，永远赶不上关系数据库的运行速度
This works well for small datasets where you have 10 to 20 Organizations but does not scale to large Numbers of Organizations.
这对于只有10到20个Organization的小型数据集而言可以很好地工作，但是却不能扩展到具有大量的Organization的情况。
While Mnesia excels at scalability and low latency in transactions on horizontally fragmented data, one remaining challenge may be how it will scale in terms of very large datasets.
对于横向分片数据，Mnesia在伸缩性和低延迟事务上表现突出，接下来的一个挑战可能是对于超大规模数据集它如何伸展。
Secondly, for large scale high dynamic range volume datasets, it is usually not so easy to achieve the desired rendering results by traditional transfer function methods.
其次，对于具有高动态范围的浮点型数据集，在体绘制过程中使用传统的传递函数设计方法很难达到理想的绘制效果。
"This study shows how large-scale datasets can be used to reveal fundamental biological patterns that would likely be missed otherwise," said Jones.
Jones说：“这个研究显示大型数据集可用于揭示基本的生物模式，而用其它方式则可能与之失之交臂。”
"This study shows how large-scale datasets can be used to reveal fundamental biological patterns that would likely be missed otherwise," said Jones.
Jones说：“这个研究显示大型数据集可用于揭示基本的生物模式，而用其它方式则可能与之失之交臂。”
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