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Cascading
来自开放百科 - 灰狐
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Cascading is used for processing log or event data, building indexes of unstructured data from web crawls or internal content, or applying data-mining or machine learning techniques. | Cascading is used for processing log or event data, building indexes of unstructured data from web crawls or internal content, or applying data-mining or machine learning techniques. | ||
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| + | [[文件:cascading-architecture-diagram.png]] | ||
http://www.cascading.org/ | http://www.cascading.org/ | ||
[[category:Apache Hadoop]] | [[category:Apache Hadoop]] | ||
2012年7月6日 (五) 05:35的版本
Cascading: For scale free data processing
Cascading is an API layered over Hadoop that aids in the development of complex processing routines for large data sets.
Cascading is used for processing log or event data, building indexes of unstructured data from web crawls or internal content, or applying data-mining or machine learning techniques.
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