What is the translation of " MAP-REDUCE " in English?

• map-reduce

Examples of using Map-reduce in Chinese and their translations into English

在原则方面，map-reduce似乎经久不衰。
On the principles side, it does seem that map-reduce is enduring.

使用MongoDB进行分析的另一个选择是使用map-reduce。
Another option for performing analytics with MongoDB is to use map-reduce.

从原则上看，map-reduce似乎是持久的。
On the principles side, it does seem that map-reduce is enduring.

此外，它具有高度可扩展性，并且基于map-reduce，让它非常适合于大数据的应用。
Plus, it's highly scalable and map-reduce based, which make it suitable for big data applications.

如果你还不太熟悉Hadoop，学习map-reduce、Pig、Hive和Mahout将很有帮助。
If you're not already familiar with Hadoop- learning map-reduce, Pig and Hive and Mahout will be valuable.

此外，它具有高度可扩展性，并且基于map-reduce，让它非常适合于大数据的应用。
Plus, it's highly scalable46 and based on map-reduce47, making it suitable for big data applications.

比如说如果出现崩溃，map-reduceApplicationMaster就会将状态保存起来并且可以快速恢复。
For example, the map-reduce Application Master will save state and allow quick recovery if it crashes.

在MongoDB中，我们可以在使用map-reduce在数据上运行任意的聚合。
In MongoDB, you can run arbitrary aggregations over data using map-reduce.

CouchDB：早期的NoSQL先驱，对于较大的数据集来说，并不是很好，而且依赖于map-reduce来进行查询。
CouchDB: an early NoSQL pioneer it's not so great for larger datasets and relies on map-reduce for query.

Map-Reduce是Google开发的一种分布式编程API，并在ApacheHadoop项目中得到了实现。
Map-Reduce is a distributed programming API pioneered by Google and implemented in the Apache Hadoop project.

此外，各种流的步骤被智能地转换成对应于hadoopcluster的map-reduce调用。
In addition, the steps of the various flows are intelligently converted into map-reduce invocations against the hadoop cluster.

ApacheMahout提供了在ApacheHadoop平台上(分布式使用map-reduce模式)使用机器学习算法的实现。
Apache Mahout provides implementations of machine learning algorithms for use on the Apache Hadoop platform(distributed map-reduce).

我们时常被过多的选择轰炸并习惯于应付像NoSQL、云、REST、Map-Reduce等流行词。
We are constantly bombarded with choice and are used to dealing with buzzwords like NoSQL, the cloud, REST, Map-Reduce and so on.

接下来，我们在输出的‘lastDayOrders'集合上运行一个辅助map-reduce工作，以计算每个产品对的出现次数：.
Next, we run a second map-reduce job on the outputed‘lastDayOrders' collection to compute the number of occurrences of each item pair:.

它让我们使用数据接入技术、关系型数据库、非关系型数据库、map-reduce框架以及基于云的服务变得简单。
It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services.

为了支持map-reduce的shuffle阶段，NodeManager容许远程任务发出远程请求来读取磁盘上的本地数据。
To support the map-reduce shuffle phase, the NodeManager will allow remote tasks to issue remote requests to read local data on their disk.

MongoDB有三种方式进行聚合计算：聚合管道，map-reduce函数，单一目的聚….
MongoDB provides three ways to perform aggregation: the aggregation pipeline, the map-reduce function, and single purpose aggregation methods.

的文章“Map-ReduceforMachineLearningonMulticore”（见参考资料），但此后在发展中又并入了更多广泛的机器学习方法。
S paper"Map-Reduce for Machine Learning on Multicore" but has since evolved to cover much broader machine-learning approaches.

拥有构建和运营大规模数据处理基础架构（包括数据管道、Map-Reduce及其他相关工具）的经验。
(Optional) Experience building and operating large-scale data processing infrastructure, including data pipelines, Map-Reduce and other related tools.

算法功能可以包括为了进行数据清理的数字信号处理、过程信号中的形状检测以及分布式计算的Map-reduce模型。
Algorithm functions can include digital signal processing for data cleansing, shape detection in process signals, and map-reduce models for distributed computing.

MongoDB提供了三种聚合的方式，分别是聚合管道，map-reduce函数和单用途聚合方法。
MongoDB provides three ways to perform aggregation: the aggregation pipeline, the map-reduce function, and single purpose aggregation methods and commands.

其中使用到两个技术，GraphJet，推特的实时图处理库，和Scalding，推特的离线map-reduce算法。
Two technologies pointed out to help with this are GraphJet, Twitters real-time graph processing library, and Scalding, Twitters offline map-reduce algorithm.

同样，早在2005年，Hadoop的另一个革命性产品诞生，这就是MapReduce，Map-Reduce方法为Java应用程序的并行计算提供了框架。
Again, back in 2005, this was revolutionary- the Map-Reduce approach of Hadoop provided a framework for parallel computation of Java applications.

本文来演示如何在Oracle数据库上，通过使用ParallelPipelinedTable函数及并行操作，来实现Map-Reduce程序。
This post shows how to implement Map-Reduce Programs within the Oracle database using Parallel Pipelined Table Functions and parallel operations.

的文章“Map-ReduceforMachineLearningonMulticore”（见参考资料），但此后在发展中又并入了更多广泛的机器学习方法。
S paper"Map-Reduce for Machine Learning on Multicore"(see Related topics) but has since evolved to cover much broader machine-learning approaches.

幸运的是我们已不再需要提供完整的事务支持，单独的系统也可以执行复杂的分析任务，比如像Hadoop这样的map-reduce平台。
Fortunately, full transactional support typically is not required, and separate systems perform complex analysis tasks-for example, map-reduce platforms such as Hadoop.

每个应用一个ApplicationMaster（比如map-reduce编程），可以请求资源、追踪进度、处理失败，并且可以保持计算状态。
One ApplicationMaster per application(such as map-reduce programming) which requests resources, tracks progress, handles failures, and can keep state about computations.