To do well, you must first sharpen your tools.
This article has built a hadoop standalone version and a pseudo-distributed development environment starting from scratch. It is illustrated in the following figures and involves:
1. Develop basic software required by hadoop;
2. Install each software;
3. Configure the hadoop standalone mode and run the wordcount example;
4. Configure the hadoop pseudo-distributed mode and run the wordcount example;
Wang Jialin's in-depth case-driven practice of cloud computing distributed Big Data hadoop in July 6-7 in Shanghai
Wang Jialin's complete directory of "cloud computing distributed Big Data hadoop hands-on path"
For more hadoop communication, contact Jia Lin:
Sina Weibo: http://weibo.com/ilovepains
QQ: 1740415547
QQ: 312494188
Weixin: wangjialinandroid
Official blog: http://www.cnblogs.com/guoshiandroid/
This tutorial comes from Wang Jialin's free release of the second hadoop image and text Training Course "cloud computing distributed Big Data hadoop hands-from scratch: the world's most detailed graphic tutorial on building a hadoop standalone and a pseudo-distributed development environment from scratch (up to 88 pages of PDF, do not let go of any details), all the free textbooks are:Cloud computing distributed Big Data hadoop hands-on path (three books in total ):
1. Wang Jialin's "Master road to cloud computing distributed Big Data hadoop practice-from scratch" guides you through easy-to-use hadoop and handles the daily programming work of hadoop engineers, enter the beautiful world of cloud computing and big data.
2. Wang Jialin's "cloud computing, distributed big data, hadoop hands-on approach-master's rise" has taken you directly to the hadoop master realm through hands-on operations on several cases and hadoop advanced topics.
3, wang Jialin's "cloud computing, distributed big data, hadoop hands-on-hand master" helps you reach the top of the master through the mainstream hadoop commercial use methods and the most successful hadoop large cases, from here, we can see all the small mountains.
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View Tutorial: the world's most detailed graphic tutorial on building a hadoop standalone and a pseudo-distributed development environment from scratch
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