Examples of using Mapreduce in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
Apache Pig is an abstraction over MapReduce.
Multiple input folders for hadoop mapreduce and s3.
So we usually program MapReduce jobs that produce something.
MapReduce and HDFS are designed to handle any node failures.
MapReduce has three stages:
The first operation from MapReduce process is Map.
To process the big data I use Hadoop, MapReduce.
MapReduce is typically used to do distributed computing on clusters of computer.
They did it with a piece of software called MapReduce.
Hadoop MapReduce is a programming model for large scale data processing.
The split-apply-combine strategy is similar to the MapReduce framework developed at Google;
The split-apply-combine strategy is similar to the MapReduce framework developed at Google;
Pig is a high level language that generates MapReduce code to analyze.
Some of the larger scale learning problems have been addressed effectively using MapReduce.
Running with Hadoop, MapReduce enables it to perform parallel batch processing.
Hadoop, MapReduce and Spark are used for the purpose of handling data.
The 2 major components of the Hadoop administration framework include MapReduce and HDFS.
Hadoop uses Google's MapReduce and Google File System technologies as its foundation.
The 2 major segments of the Hadoop administration framework incorporate MapReduce and HDFS.
The Plasma whitepaper also presents a very interesting application of the so-called MapReduce computations.