11.4.2 Rendering an ItemsControl with a DataTemplate
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Attribute Attribute Attribute Attribute Attribute Attribute Attribute Relationship Attribute Attribute Attribute Attribute Attribute Relationship Relationship Relationship Attribute Attribute Attribute Attribute Attribute Relationship Relationship Attribute Attribute
MapReduce implementations are sophisticated frameworks for reliable parallel processing in a highly distributed fashion. They specifically allow distributed processing of the map and reduce functions. Provided all map functions are independent of each other, all maps can be done in parallel. The key is any dependencies in the data set. There may in practice be limitations caused by the data source and/or number of CPUs near that data. The set of reducers operating on the same key produced by the map operations can perform the reduction phase in parallel as well.