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hadoop mapreduce example with custom inputformat,inputsplit,recordreader,outputformat and recordwriter for generating test data

June, 2017 adarsh

Generating data isn’t common. Typically you’ll generate a bunch of the data at once then use it over and over…

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Posted in: Data Analytics, Map Reduce Filed under: map reduce, map reduce design pattern

mapreduce replicate,reduce side join,average pattern with real world example

adarsh 7d Comments

Problem to solve : We wish to know how have the genres ranked by Average Rating, for each profession and…

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Posted in: Data Analytics, Map Reduce Filed under: map reduce, map reduce design pattern, mapreduce real world example

mapreduce reduce side join,average and top n records pattern with real world example

June, 2017 adarsh

Problem to solve : Top twenty rated movies (Condition: The movie should be rated/viewed by at least 40 users) The…

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Posted in: Data Analytics, Map Reduce Filed under: map reduce, map reduce design pattern, mapreduce real world example

mapreduce reduce side join and top n records pattern with real world example

adarsh 17d Comments

The problem mentioned below revolves around movies dataset. The dataset contains 2 files which are follows, File Name    …

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Posted in: Data Analytics, Map Reduce Filed under: map reduce, map reduce design pattern, mapreduce real world example

job merging optimization to process two unrelated jobs that are loading the same data to share the mapreduce pipeline

June, 2017 adarsh

job merging is an optimization aimed to reduce the amount of I/O through the MapReduce pipeline. Job merging is a…

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Posted in: Data Analytics, Map Reduce Filed under: map reduce, map reduce design pattern, mapreduce metapatterns

Chain folding optimization in mapreduce using chainmapper and chainreducer approach

adarsh

Chain folding is an optimization that is applied to MapReduce job chains.Take a look at the map phases in the…

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Posted in: Data Analytics, Map Reduce Filed under: map reduce, map reduce design pattern, mapreduce metapatterns

job chaining in mapreduce with jobcontrol ,controlledJob and driver

June, 2017 adarsh

Job chaining is extremely important to understand and have an operational plan for in your environment. Many people find that…

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Posted in: Data Analytics, Map Reduce Filed under: map reduce, map reduce design pattern, mapreduce metapatterns

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