Hadoop 101: Programming MapReduce with Native Libraries, Hive, Pig, and Cascading

本文介绍了与Hadoop交互的四种主要方法:Native Libraries、Hive、Pig和Cascading。Native Libraries提供最佳性能和最精细的控制;Hive提供类似SQL的语言;Pig介于Hive的SQL式语言和Cascading的Java式语言之间;Cascading则提供了更接近Java的编程体验。

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和Hadoop交互的四种方法:

1. Native Libraries

2. Hive

3. Pig

4. Cascading

At a high level, people use the native Hadoop libraries to achieve the greatest performance and have the most fine-grained control. Pig is somewhere between the very SQL-like, database language provided by Hive and the very Java-like programming language provided by Cascading. - See more at: http://blog.gopivotal.com/pivotal/products/hadoop-101-programming-mapreduce-with-native-libraries-hive-pig-and-cascading#sthash.h7JxtIq3.dpuf
At a high level, people use the native Hadoop libraries to achieve the greatest performance and have the most fine-grained control. Pig is somewhere between the very SQL-like, database language provided by Hive and the very Java-like programming language provided by Cascading. 


http://blog.gopivotal.com/pivotal/products/hadoop-101-programming-mapreduce-with-native-libraries-hive-pig-and-cascading



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