This article USES Hadoop version 0.19.1.
本文使用Hadoopversion 0.19.1。
Hadoop will run the map part on chunks of this data.
Hadoop将运行这个数据挖掘流程的map步骤。
The Hadoop Master node instance must be provisioned first.
必须首先提供HadoopMaster节点实例。
For now, we will concentrate on crunching data with Hadoop.
但现在，我们将主要关注使用Hadoop挖掘数据。
Launch the start-all.sh script to start the Hadoop daemons.
启动start - all . sh脚本以启动Hadoop守护进程。
Stop all components of Hadoop with the stop-all.sh command.
使用stop-all.sh 命令停止Hadoop的所有组件。
Their focus in the last year was to improve Hadoop map-reduce.
他们在去年的重点是改善Hadoop的map -reduce，这包括。
Hive is a data warehouse infrastructure built on top of Hadoop.
配置单元是一个建立在Hadoop顶部的数据舱库基础结构。
Now, start all components of Hadoop with the start-all.sh command.
现在，使用start -all. sh命令启动Hadoop的所有组件。
Hopefully, from this article, you can see the real power of Hadoop.
希望从这篇文章您可以看到Hadoop的真正力量。
Finally, Pig is a platform on Hadoop for analyzing large data sets.
最后，Pig是Hadoop中用于分析大型数据集的平台。
Hadoop can be configured so you work in one of three different modes.
通过配置Hadoop，您可以在以下三种模式中的一种模式下工作。
In this example, the Hadoop Master node IP address is 170.224.193.137.
在这个示例中，HadoopMaster节点的IP地址是170.224.193.137。
From the IBM Cloud Control panel TAB, click the Hadoop master instance.
在IBMCloudControl面板的选项卡中，单击Hadoopmaster实例。
And there is the lack of an append operation in HDFS (See HADOOP-1700).
而且在HDFS中缺少append操作(参见HADOOP- 1700)。
Big data and Hadoop seem to be playing an important role in the future.
大数据和Hadoop将在未来扮演更重要的角色。
This is in the process of being contributed to the Hadoop open source project.
这还是一个正处于建设过程中的开源项目。
This article has shown you a simple example of crunching big data with Hadoop.
本文展示了使用Hadoop挖掘大数据的一个简单示例。
In this article, we will only cover setting up Hadoop in fully-distributed mode.
在本文中，我们只讨论以全分布模式设置Hadoop。
Notice that you're using a command called hadoop-0.20 to inspect the file system.
注意，使用hadoop- 0.20命令检查文件系统。
So the proposed solution is to start leverage Hadoop as a cross-application data store.
因此，他推荐的解决方案是使用Hadoop作为跨平台数据存储。
You can find a number of distributions for Hadoop (including the source) at apache.org.
可以在apache.org找到许多Hadoop发行版(包括源代码)。
So they use daily batch processing with Hadoop as an important part of their calculations.
因此，他们将每天对Hadoop的批处理作为计算的重要组成部分。
When working with Hadoop, accessing data in different data centers is the worst case scenario.
使用Hadoop时，访问位于不同数据中心内的数据是最糟糕的情况。
Note: If you use Hadoop release 0.21.0, this property name should be mapreduce.jobtracker.address.
注意：如果使用Hadoop0.21.0，这个属性名应该是mapreduce.jobtracker.address。
Note: If you use Hadoop release 0.21.0, this property name should be mapreduce.jobtracker.address.
注意：如果使用Hadoop0.21.0，这个属性名应该是mapreduce.jobtracker.address。
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