Examples of using Mapreduce in Chinese and their translations into English
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此外，MapReduce并行处理引擎也有变化和改进，例如Apache的Spark项目。
Additionally, there are changes and potential improvements to the MapReduce parallel processing engine on MapReduce框架采用了Master/Slave架构，包括一个Master和若干个Slave。
今年早些时候，Google承诺不会使用MapReduce的10项专利权起诉开源开发者。
Earlier this year, Google pledged not 网上不缺关于Spark与MapReduce相比有多快的信息。
There's no lack of information on the Internet about how fast Spark is compared to MapReduce.Spark具有类似于MapReduce的编程模型，但是使用称为“弹性分布式数据集”或RDDs的数据共享抽象扩展。
Spark has a similar programming model to MapReduce but extends it with a data-sharing abstraction called Resilient Distributed Datasets or RDD[18].MapReduce把一个任务拆分成了多个小任务，并把子任务分配到多台计算机上进行工作。
MapReduce简介：在阅读本文之前，你需要了解Hadoop的基本工作原理。
Introduction to MapReduce: Before reading this article, you need MapReduce：大型集群中的简化数据处理是有关MapReduce的开创性文章，其由JeffDean和SanjayGhemawat于2004年编写。
第3部分描述了MapReduce接口专门针对基于集群的计算环境的一个实现。
Section 3 describes an implementation of the MapReduce interface tailored towards our cluster-based computing environment.此时，用户程序中的MapReduce调用返回到用户代码中。
At this point, the MapReduce call in 在YARN设计中，MapReduce只是一个应用程序框架，该设计也可以允许使用其他框架来构建和部署分布式应用程序。
In the YARN design, MapRe- duce is just one application framework; the design permits building and deploying distributed applications using other frameworks as well.DAG引擎之所以优于MapReduce是因为它帮助程序员更好的并行执行作业。
The DAG engine is superior to MapReduce because it helps the programmer parallelize jobs much better.MapReduce的关键特性是它能够在整个节点集群上执行处理，每个节点都处理本地数据。
The key feature of MapReduce is its ability to perform processing across an entire cluster 用MapReduce的词语来说，这就是MapReduce的合并阶段，一种在map和reduce中间的优化阶段。
In MapReduce terminology, this is the combining phase of the Abadi教授说，耶鲁大学正在研制一种称为HadoopDB的混合型数据库系统，旨在结合并行数据库和MapReduce系统的优势。
Abadi says Yale is developing a hybrid database system called HadoopDB designed to combine the advantages of parallel databases and MapReduce-based systems.由于是用java实现的，所以Hadoop的MapReduce实现可以通过java语言交互。
Since it Spark的速度、灵活性和相对易用性对MapReduce的低操作成本来说是绝对补充。
Spark's speed, agility, and relative ease of use are perfect complements to MapReduce's low cost of operation.Mahout包括集群，分类和基于批处理的协作过滤，所有这些都在MapReduce之上运行。
Mahout includes clustering, classification, and batch-based collaborative filtering, all Scalding是一个Scala库，它能使在Hadoop中写入MapReduce时变得更容易。
Scalding is a Scala library that makes it easy to write MapReduce jobs in Hadoop.使用presto之前，点我达大数据主要使用hive，走mapreduce来查询相关表。
Before using presto, I would like 
