HADOOP MAPREDUCE in Chinese translation

• hadoop mapreduce

Examples of using Hadoop mapreduce in English and their translations into Chinese

Hadoop MapReduce contributed to the success of LinkedIn and Netflix.
HadoopMapReduce还帮助驱动了LinkedIn和Netflix。

We then learn about how the Hadoop MapReduce framework works.
现在我们来学习HadoopMapReduce框架的Combiner。

Spark vs. Hadoop MapReduce: Which big data framework to choose.
上一篇：Sparkvs.HadoopMapReduce：选择哪个大数据框架.

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

You now have a basic understanding of the Hadoop MapReduce Framework.
现在我们来学习HadoopMapReduce框架的Combiner。

We can write a very similar program to this in Hadoop MapReduce;
针对这个，我们可以在HadoopMapReduce中写一个很相似的程序；.

Hadoop MapReduce- an implementation of MapReduce programming model for large scale data processing.
HadoopMapReduce--用于大规模数据处理的编程模型。

It is based on Hadoop MapReduce and extends the MapReduce model to use….
它基于HadoopMapReduce，它扩展了MapReduce模型，以便有效地将….

The open source Hadoop MapReduce project is inspired by Google's work.
ApacheHadoop项目的灵感来源于Google的早期工作。

Scalding is a“a Scala library that makes it easy to specify Hadoop MapReduce jobs.
Scalding是一款Scala库，旨在让编写HadoopMapReduce的工作变得更加容易。

Spark and Hadoop MapReduce both have similar compatibility in terms of data types and data sources.
小结：Spark和HadoopMapReduce具有相同的数据类型和数据源的兼容性。

Apache Mahout is a powerful, scalable, machine-learning library that runs on top of Hadoop MapReduce.
ApacheMahout是一个功能强大的可伸缩机器学习库，可以在HadoopMapReduce之上运行。

Spark's compatibility with various data types and data sources is the same as Hadoop MapReduce.
所以，说Spark与数据类型和数据源的兼容性与HadoopMapReduce类似是没有错的。

Pavlo et al. compared the performance of the Hadoop MapReduce implementation to two database implementations;
Pavlo等将HadoopMapReduce实现的性能与两个数据库实现进行了对比；.

But Hadoop MapReduce is a batch-oriented system, and doesn't lend itself well towards interactive applications;
但HadoopMapReduce则是批量处理的系统，并不太适合交互式应用；.

This alternative Hadoop MapReduce is a Java-based, open source platform for processing big data in real time.
这个非主流的HadoopMapReduce是一种基于Java的开源平台，可用于实时处理大数据。

HIPI is an image processing library designed to be used with the Apache Hadoop MapReduce parallel programming framework.
HIPI是一个图像处理库，旨在与ApacheHadoopMapReduce并行编程框架一起使用。

Although there were several open source implementations of the MapReduce model, Hadoop MapReduce quickly became the most popular.
尽管MapReduce模型存在着多种开源实现，但HadoopMapReduce很快就变得非常流行。

One major difference from our previous Hadoop MapReduce implementation is that Corona uses push-based, rather than pull-based, scheduling.
与我们在前面介绍的HadoopMapReduce实现的一个主要区别在于，Corona使用了基于推送的，而不是基于拉式的任务调度机制。

Spark solves similar problems as Hadoop MapReduce does but with a fast in-memory approach and a clean functional style API.
Spark解决了与HadoopMapReduce类似的问题，但具有快速的内存方法和干净的功能样式API。