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开源不耐烦的大数据,第1部分:Hadoop教程:Hello World 与Java, Pig, Hive,Flume, Fuse, Oozie和使用Informix, DB2, 与MySQL的Sqoop——如何开始使用Hadoop和你最喜欢的数据库

Open Source Big Data for the Impatient, Part 1:Hadoop tutorial: Hello World with Java, Pig, Hive,Flume, Fuse, Oozie, and Sqoop with Informix, DB2, and MySQL——How to get started with Hadoop and your favorite databases
作者:Marty Lurie 作者单位:Cloudera 加工时间:2013-12-18 信息来源:IBM 索取原文[38 页]
关键词:Hadoop;大数据;开源播放器;开源数据
摘 要:This article is focused on explaining Big Data and then providing simple worked examples in Hadoop, the major open-source player in the Big Data space. You'll be happy to hear that Hadoop is NOT a replacement for Informix or DB2, but in fact plays nicely with the existing infrastructure. There are multiple components in the Hadoop family and this article will drill down to specific code samples that show the capabilities. No Elephants will stampede if you try these examples on your own PC.
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