搜索资源列表
hadoopGIS
- hadoop是众所周知的云计算平台，hadoopGIS是基于hadoop进行云GIS试验的成果，实现在云环境下的数据存储、读取等功能-hadoop is well known cloud computing platform, hadoopGIS for cloud hadoop GIS based on test results, achieved under the cloud of data storage, reading and other functions
Hadoop_in_Action
- 关于云计算开源平台Hadoop的简介，是Hadoop使用者入门的很好的书籍!-Hadoop open source cloud computing platform on the introduction, is a good entry Hadoop users of books!
finish-hadoop-in-the-lunix
- 在LINUX环境下完成HADOOP平台的配置-On LINUX platform environment to complete the configuration of HADOOP
hadoop-1.0.3.tar
- 构建云计算平台的软件—hadoop,帮助你实现自己的云计算平台-hadoop for cloud computing
WordCount
- 在Hadoop平台下实现的WordCount，该程序的功能是统计程序中单词的数目-The WordCount in the Hadoop platform, the functionality of the program is cal the number of words in the statistical procedures
preprocessing-data-map_reduce
- 介绍了怎样在window平台上搭建hadoop平台，以及利用map_reduce 进行数据处理的基础知识-Describes how to build a platform in the window hadoop platform for data processing and the use of map_reduce basics
Hadoop
- 有关大数据hadoop平台源代码的分析，帮助初次接触者对大数据有个了解，方便学习。-Source code analysis of large data
MapReduce
- 高性能计算与云计算 实验报告 ——Map/Reduce编程 本实验的目的是通过练习掌握Map/Reduce编程的知识和技巧: 1) 熟悉建立分布式高性能计算平台Hadoop的基本步骤 2) 掌握用Map/Reduce编写并行计算程序的基本方法 3) 了解Map/Reduce计算程序在Hadoop下的运行和调试机制 -High-performance computing and cloud computing lab report Map/purpose of th
sort
- 使用hadoop的mapreduce算法，前提是先要搭建一个hadoop云平台，该程序不难，为初学者的hadoop程序，对刚刚接触hadoop的同学会有帮助。-Using hadoop mapreduce algorithm, a parallel sorting algorithm, the premise is to set up a hadoop cloud platform, the program is easy, hadoop program for beginners, help
simple-word-count-function
- 在Ubuntu系统中，运行在Hadoop平台上的一个简单的单词计数功能-In the Ubuntu system, running on a platform Hadoop simple word count function
wordcount
- 并行算法实现wordcount：基于hadoop平台，在Linux上测试： 包括C语言实现的串行算法和Java实现的并行算法。-Parallel algorithm based on hadoop on Linux for wordcount： Including serial algorithm and parallel algorithm based on hadoop.
genetic-algorithm-based-on-Hadoop
- 基于Hadoop大数据平台实现遗传算法并行化，利用将任务划分为MapReduce过程进行分布式处理。-Based on Hadoop big data platform to achieve parallel genetic algorithm, the use of the task is divided into MapReduce process distributed processing.
itemcf
- Hadoop平台上的物品协同过滤程序，使用Java语言编写(A Item Collaborate Filter Program based on Hadoop platform written by Java)
SparseSoftmax
- 使用Hadoop平台的Spark组件，实现机器学习分类算法Softmax，使用的编程语言为Scala。(Hadoop platform using Spark components, the realization of machine learning classification algorithm Softmax, using the programming language for Scala.)
SparseLR
- 使用Hadoop平台的Spark组件，实现机器学习分类算法LR（逻辑回归），使用的编程语言为Scala。(Using the Spark component of the Hadoop platform, the machine learning classification algorithm LR (logical regression) is used, and the programming language is Scala.)
SVM
- 使用Hadoop平台的Spark组件，实现机器学习分类算法SVM（支持向量机），使用的编程语言为Scala。(Using the Hadoop platform Spark components, the machine learning classification algorithm SVM (support vector machines), using the programming language for Scala.)
！！！Hadoop2.6_002_SubmitJob
- 实现了基于Java在Hadoop平台上提交任务。(Submitting tasks on Hadoop platform based on Java.)
MapReduce源码1
- 在hadoop云平台实现单表关联、多变关联(Implementation of single table Association and variable association on Hadoop cloud platform)
1-cloudDay04
- 用zookeeper实现Hadoop平台中的多台服务器的可靠性保证(Using zookeeper to implement the reliability assurance of multiple servers in the Hadoop platform.)
hdfs_video_jar
- 打开hdfs下MP4文件Hadoop平台的应用因为初次接触望点评改进(open in hdfs MP4 filesApplication based on hadoop platform because of the improvement of initial contact Review)