HADOOP 英语是什么意思 - 英语翻译

• hadoop

在 中文 中使用 Hadoop 的示例及其翻译为 英语

什么是Hadoop开发人员？?
What is HotDocs Developer?

如何将数据导入hadoop？?
How to get data into Hadoop?

Hadoop2做了很多改进。
Spyro 2 has many improvements.

大数据，不仅只Hadoop.
Big data is not only about Hadoop.

Hadoop是由Apache基金会开发。
Groovy is developed by Apache foundation.

特别专注于Hadoop。
I have been heavily focusing on Hadoop.

这也是我对Hadoop的诸多感受。
In many ways, this is how I feel about Hadoop.

什么时候减少任务从Hadoop开始？?
When does withdrawal from Percocet start?

YARN就是Hadoop的资源管理器。
YARN is Hadoop's resource manager and job scheduler.

企业数据如何导入Hadoop系统?
How do you import enterprise data into Hadoop?

Hadoop上的文件通常应该超过100MB。
Files on Hadoop usually should be more than 100 MB.

的区别在于Spark比Hadoop更快。
The only difference is that Spark is faster than Hadoop.

MapReduce是Hadoop的本地批解决引擎。
MapReduce is Hadoop's native batch processing engine.

Hadoop的快速发展带动了对数据迁移工具的需求.
Hadoop's growth opens up demand for data migration tools.

年将是人们开始远离Hadoop的一年。
I think 2017 will be the year people start walking away from Hadoop.

对Hadoop及其周边生态系统有较深入研究。
Deep knowledge of the Hadoop and the surrounding ecosystem.

最后，Pig是Hadoop中用于分析大型数据集的平台。
Finally, Pig is a platform on Hadoop for analysing large data sets.

访问BigDataUniversity，获取有关Hadoop和大数据的免费课程。
Check out Big Data University for free courses on Hadoop and big data.

基于Hadoop的医院数据中心系统设计与实现.
Design and implementation of hospital data center system based on Hadoop.

MapReduce：MapReduce是Hadoop的原生批处理引擎。
MapReduce: MapReduce is Hadoop's native batch processing engine.

Ozone是Hadoop的可扩展、冗余和分布式对象存储。
Ozone is a scalable, redundant, and distributed object store for Hadoop.

我们的CEOMichaelFriendenberg说围绕着Hadoop的嗡嗡声可不是开玩笑的。
Our CEO Michael Friedenberg says the buzz around Hadoop is no joke.

通过基于Hadoop的数据挖掘和基于NoSQL的分析来关注数据。
Focus on data with Hadoop-based data mining and NoSQL-based analytics.

Flume可以从其他应用程序收集日志数据，然后将这些数据送入到Hadoop。
Flume collects log data from other applications and delivers them into Hadoop.

Spark类似于HadoopMapReduce的通用并行框架.
Spark is similar to Hadoop MapReduce's general parallel computing framework.

他们必须是Hadoop的Writable的子类，例如IntWritable和Text。
These should be subclasses of Hadoop's Writable interface, like IntWritable and Text.

这就是Hadoop与传统数据处理方式最大的不同。
This is the biggest difference between Hadoop and traditional data processing approaches.

ClouderaHadoop发布版可自由下载并且立即可用。
The Cloudera Distribution for Hadoop is freely available for download and immediate use.