Map Reduce Jobs

Map Reduce is a programming model created to process big data sets. It's oftentimes utilized in the act of distributed computing for different devices. Map Reduce jobs involve the splitting of the input data-set into different chunks. These independent sectors are then processed in a parallel manner by map tasks. The framework will then sort the map outputs, and the results will be included in "reduce tasks." Usually, the input and output of Map Reduce Jobs are kept in a file-system. The framework is then left in charge of scheduling, monitoring, and re-executing tasks.

Map Reduce can be used in jobs such as pattern-based searching, web access log stats, document clustering, web link-graph reversal, inverted index construction, term-vector per host, statistical machine translation and machine learning. Text indexing, search, and tokenization can also be accomplished with the Map Reduce program.

Map Reduce can also be used in different environments such as desktop grids, dynamic cloud environments, volunteer computing environments and mobile environments. Those who want to apply for Map Reduce jobs can educate themselves with the many tutorials available in the internet. Focus should be put on studying the input reader, map function, partition function, comparison function, reduce function and output writer components of the program. Hire Map Reduce Developers

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    3 jobs found, pricing in CAD
    Essay about Apache YARN 6 days left
    VERIFIED

    a)Describethe background of Apache YARN especially its origin.(~500 words) b)Study the technical details of Apache YARN and describe (with appropriate diagrams) its process flow illustratingtask parallelismfunction.(~500 words) c)Create a dataset (similar to MapReduce class exercise) for Apache YARN and use the above process flow showing the steps leading to the final solution.(~1000 wor...

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    This is urgently required please bid only if you can do it

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    Only for kbensalmia, don't bid on this project !

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