MapReduce, the first version of which Google wrote in 2003, gives the company a way to actually make something useful of its data.
2003年，Google编写了MapReduce的第一个版本，这种算法给了Google公司一条让自己数据发挥作用的途径来。
For example, Google USES a proprietary file system for storing files that's optimized for the type of operations that their MapReduce implementations are likely to perform.
比如，为了它的MapReduce实现更好的执行这种类型的操作，使其更优化，Google使用了专有的文件系统用来存储文件。
MapReduce has been discussed at length at InfoQ, and is a programming model originally introduced by engineers at Google as a scalable approach to processing large data-sets.
InfoQ已经详细介绍了MapReduce，它最初是由Google工程师引入的一种编程模型，旨在提供一种可伸缩的方法来处理大数据集。
Like the Google framework MapReduce; MR describes a way of implementing parallelism using the Map function which splits a large data into multiple key-value pairs.
如Google框架MapReduce；MR描述了一种使用Map功能实现并行性的方法，它将大型数据分割成多个键-值对。
Data is automatically compressed using Snappy, a compression library used by Google for BigTable, MapReduce, and RPC and open sourced in April.
数据会自动使用Snappy压缩，这是一个压缩库，Google将其用于BigTable,MapReduce和RPC中，并且在四月份宣布开源。
MapReduce is a software framework introduced by Google that supports distributed computing on large data sets on clusters of computers (or nodes).
MapReduce是Google引入的一个软件框架，它支持在计算机(即节点)集群上对大型数据集进行分布式计算。
MapReduce is an abstraction that allows Google engineers to perform simple computations while hiding the details of parallelization, data distribution, load balancing and fault tolerance.
通过MapReduce的抽象，google工程师可以简单地进行运算，而不必考虑并行运算的细节、数据的分配、负载平衡和错误处理。
Google introduced the idea of MapReduce as a programming model for processing or generating large sets of data.
Google引用MapReduce的概念作为处理或生成大型数据集的编程模型。
The MapReduce programming mode was developed at Google.
MapReduce编程模式是在Google开发出来的。
The MapReduce programming mode was developed at Google.
MapReduce编程模式是在Google开发出来的。
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