搜索资源列表
WordCount
- 实现了一个比较简单的基于MapReduce统计单词个数的例子。-Implements a simpler example based on number of statistical word graphs.
JAVA-Hadoop-programming
- 程序源码,《Hadoop高级编程——构建与实现大数据解决方案》本书关注用于构建先进的、基于Hadoop的企业级应用的架构和方案，并为实现现实的解决方案提供深入的、代码级的讲解。本书还会带你领略数据设计以及数据设计如何影响实现。本书解释了MapReduce的工作原理，并展示了如何在MapReduce中重新定制特定的业务问题。在整本书中，你将会发现深入的Java代码示例，这些代码示例可以直接使用，它们均源自于已经成功地构建和部署的应用程序。-Source program the Hadoop pro
WawaKMeans
- WawaKMeans的算法实现，用Wawa实现K-means聚类算法与MapReduce实现的算法进行对比-WawaKMeans algorithm implementation, using K-means to achieve Wawa clustering algorithm and MapReduce implementation of the algorithm to compare
code
- 信息检索作业-分布式构建倒排索引 Hadoop Mapreduce程序-Information retri - distributed inverted index Hadoop Mapreduce
muti_kangfang_fenbushi
- hadoop下实现单词的计数，采用分布式形式，使用mapreduce编程框架-Hadoop implementation under the word count, adopting distributed form, the use of graphs programming framework
hadoop-apriori-master2
- java hadoop apriori implementation base on mapReduce
examples
- Hadoop项目中的实例程序代码，主要是为了加深对Hadoop的熟练使用，理解Hadoop的MapReduce计算模型-Hadoop project examples of program code, mainly in order to deepen the use of Hadoop skilled, understanding of the MapReduce Hadoop calculation model
9313_bigdata
- unsw大数据9313课程，lab包括Hadoop的mapreduce，hive，pig，scala语言-unsw Big Data 9313 courses, lab including Hadoop' s mapreduce, hive, pig, scala language
JAVA.wordcount
- hadoop实现mapreduce算法，实现对一片英语文章中单词出现次数的统计(Hadoop implementation of the MapReduce algorithm, the realization of an English article in the number of words Statistics)
01.Hadoop权威指南(第3版) PDF高清晰
- 了解hadoop使用方法及应用实例，包含hadoop分布式文件系统、IO操作、MapReduce的工作机制、集群管理、Pig等(Understand the Hadoop usage and application examples, including Hadoop distributed file system, IO operation, MapReduce working mechanism, cluster management, Pig and so on)
hadoop3
- 一本很好的Hadoop教学参考书，适合初学者使用(A good Hadoop reference book for beginners)
Hadoop-Kmeans
- hadoop平台下的K-means算法的实现(Implementation of K-means algorithm under Hadoop platform)
Recommend-master
- 实现电影推荐系统，互联网某电影点评网站，利用用户对电影的打分表来给用户推荐电影(Using MapReduce for movie recommendation system)