Examples of 'mapreduce' in a sentence
Meaning of "mapreduce"
In computing, to mapreduce means to process data by dividing it into smaller parts, processing each part, and then combining the results
How to use "mapreduce" in a sentence
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mapreduce
A scalable model using MapReduce is then proposed.
List the features and processes of MapReduce.
It scales using the MapReduce parallel programming model.
We have not talked about MapReduce yet.
Hadoop and MapReduce markets are growing rapidly now.
It is designed for systems using the MapReduce framework.
Support for MapReduce algorithms is being gradually phased out.
You need to understand what MapReduce is.
The MapReduce tFileInputParquet component belongs to the MapReduce family.
Implement HBase and MapReduce integration.
Parallelization of computing is proposed according to the MapReduce model.
Spark brings improvements to MapReduce through cheaper shuffle steps.
This is the map aspect of MapReduce.
The MapReduce tFileOutputParquet component belongs to the MapReduce family.
Learn to write complex MapReduce programs.
See also
The MapReduce programming model.
The processing of data is done through MapReduce.
The indexing technique is used in MapReduce is known as inverted index.
Log processing was one of the original purposes of MapReduce.
Hadoop and MapReduce are related but do not require each other.
Optimizing the communication cost is essential to a good MapReduce algorithm.
Enlarge mapReduce map.
These algorithms are written in MapReduce.
Execute a MapReduce job.
A processing layer called MapReduce.
Google made MapReduce famous building their indices for the web.
Everything else is actually taken care of by the MapReduce framework.
The basic idea of MapReduce and the extended MapCombineReduce model are presented.
We found that they could not support the MapReduce.
That worked pretty well when MapReduce was the sole engine.
The SequenceFile format is recommended in case of storing intermediate data in MapReduce jobs.
We develop the first dynamic models of a MapReduce service running a concurrent workload.
It is one of the replacements of the traditional approach to the MapReduce program.
The canonical example of a MapReduce job is counting word frequencies in a body of text.
A new version of this algorithm adapted to the MapReduce paradigm is proposed.
Basically MapReduce breaks down complex tasks into simpler chunks to be executed in parallel.
Querying with MapReduce.
Mapreduce has been extensively used for data processing and analytics over the last years.
News about mapreduce.
Hadoop MapReduce jobs are divided into a set of map tasks and reduce tasks that run.
In the first part you will write a simple MapReduce program.
MapReduce programs are not guaranteed to be fast.
Implementations of MapReduce.
MapReduce performs data processing in two steps.
We also study several aspects related to intermediate data management in MapReduce frameworks.
We also study how to improve the performance of MapReduce framework using data partitioning techniques.
The results show the feasibility of using the proposed architecture to execute mapreduce jobs.
Hadoop is an open source implementation of the MapReduce algorithms and distributed file system.
Hadoop MapReduce is the heart of the Hadoop system.
The following program for the sample data uses MapReduce framework.
