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Hadoop

网络分布式计算；分布式计算平台；分布式文件系统

Hadoop

网络释义

Hadoop

分布式计算

-有分布式计算(Hadoop)经验者优先 5、搜索级研发工程师岗位描述 : -负责搜索相关业务的架构设计与开发 -负责搜索相关服务 …

分布式计算平台

b) 有大规模分布式计算平台（Hadoop）的使用和并行算法开发及应用经验； c) 优秀的沟通表达能力。

分布式文件系统

...多disk啊太crazy了是用来做数据仓库还是分布式文件系统（hadoop）了小可才疏学浅目前见识过40个的 780跑DB的

大数据

...服人456：从目前接触的技术来看，无论是虚拟机还是大数据(hadoop)都是在基于二层网络架构进行数据传输，一但出现跨网 …

云计算和大数据

摘要：英特尔CAS 2.0解决方案，在数据库/OLTP、虚拟化、云计算和大数据（Hadoop）应用场景中可带来显著的I/O和应用性 …

分布式并行处理框架

...的算法和相关理论（模式识别，人工智能） (2)熟知分布式并行处理框架（Hadoop），并具有...

例句：

If I'm a developer using Hadoop and want to look at a bit of data , it will let me run some reports against the file system .

如果我是个使用 Hadoop 的开发者，想要查看一些数据，那么就可以通过文件系统报表达成所愿。

As the hadoop-0. 20 is one of your primary interfaces to the Hadoop cluster , you 'll see this utility used quite a bit through this article.

因为 hadoop-0.20 是 Hadoop 集群的主要接口之一，您会看到本文中多次使用这个实用程序。

Now that I 've coded my map and reduce implementations , all that's left to do is link everything up into a Hadoop Job.

现在我已经对我的 map 和 reduce 实现进行了编码，接下来所要做的是将所有这一切链接到一个 HadoopJob 。

From this article, it's easy to see how Hadoop makes distributed computing simple for processing large datasets .

通过本文很容易看出 Hadoop 显著简化了处理大型数据集的分布式计算。

All that's needed is a representation of the data in a vector form that the Hadoop infrastructure can use .

所有这一切的需要就是用矢量格式表达 Hadoop 基础设施可以使用的数据。

Well, as you 've probably guessed, Hadoop makes that easy to do .

当然，您已经猜到了，Hadoop 可以轻松地做到。

But from the previous discussion , it's easy to see how Hadoop provides parallel processing of work.

但是，通过前面的讨论很容易看出 Hadoop 如何提供并行处理。

Not to be outdone , commercial Hadoop pioneer Cloudera announced an HDFS partnership of its own yesterday .

商业 Hadoop 的先驱 Cloudera 也不甘示弱，于昨天发布了自己的 HDFS 合作伙伴计划。

A key part of the announcement was that Yahoo would make available a Hadoop enabled super computing data center named M45.

该声明的关键是 Yahoo 将建立一个使用 Hadoop 的超级计算数据中心，名为 M45 。

Alas , there are several things that Hadoop does not do , at least when accessed through the MapReduce interface .

唉，有几件事情 Hadoop 也不做，至少在通过 MapReduce 访问接口。

Now you have set up the Hadoop Cluster on the cloud , and it's ready to run the MapReduce applications .

现在，已经在云中设置了 Hadoop 集群，该运行 MapReduce 应用程序了。

Since we are going to be connecting to the hadoop file system , we might as well test that as well.

因为我们要连接到 hadoop 文件系统，我们不妨测试。

One particularly handy aspect of Hadoop is that it handles the raw parsing of an input file , so that you can deal with one line at a time .

Hadoop 可以对输入文件进行原始解析，这一点特别有用，这样您就可以每次处理一行。

For all the other settings , keep the defaults or choose the same values as you did for the Hadoop Master node .

对于所有其他设置，保留其默认值或者选择与 HadoopMaster 节点相同的值。

It is assumed that the Hadoop slave node has been configured a priori in such a manner that it registers with the Hadoop master node .

这里假设 Hadoop 从节点已经在之前配置完成，也就是它已经注册到 Hadoop 主节点中。

Now that you have installed Hadoop and tested the basic interface to its file system , it 's time to test Hadoop in a real application .

既然已经安装了 Hadoop 并测试了文件系统的基本接口，现在就该在真实的应用程序中测试 Hadoop 了。

This article introduces you to the important configurable parameters of Hadoop and the method for analyzing and tuning performance .

本文介绍重要的 Hadoop 可配置参数以及分析和调优性能的方法。

That magically seems to work , indicating that we can , indeed, connect to another machine and run the hadoop commands .

魔法般的似乎工作，表明我们可以，事实上，连接到另一台机器上，运行 hadoop 命令。

The Hadoop runtime will split up the data (log files ) that needs to be processed and give each node in your cluster a chunk of data .

Hadoop 运行时将分割需要处理的数据（一些日志文件）并向您的集群中的每个节点分配一个数据块。

One irony of this code and the Hadoop framework is that the input files do not have to be in the same format .

一个讽刺，这段代码和 Hadoop 框架是输入文件不需要在相同的格式。

Hadoop is really designed to run in a distributed manner where it handles the coordination of various nodes running map and reduce .

Hadoop 的设计旨在以一种分布式方式运行，处理运行 map 和 reduce 的各个节点之间的协调性。

You can perform a couple of tests to ensure that Hadoop is up and running normally (at least the namenode).

可以通过几个检查确认 Hadoop （至少是 namenode ）已经启动并正常运行。

So over the past 2 weekends , I 've worked on a hobby project , which lets you turn your Hudson cluster into a Hadoop cluster.

所以在过去的两个周末里，我一直在从事一个业余爱好项目，这个项目可以把 Hudson 集群转化成 Hadoop 集群。

Run the clustering algorithm of choice using one of the many Hadoop-ready driver programs available in Mahout.

使用 Mahout 中可用的 Hadoop 就绪的驱动程序运行所选集群算法。

Open source software designed by IBM to help students develop programs for clusters running Hadoop.

IBM 设计了开源软件去帮助学生们为运行 Hadoop 的集群开发程序。

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