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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    4 jobs found, pricing in USD
    Big data expert needed 6 days left
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    A talented person is required who has knowledge in Pig, hive Hadoop, Hbase and spark. If you have knowledge feel free to bid

    $173 (Avg Bid)
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    Mobile website 5 days left
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    I’m looking for a mobile web designer, Developer and more. I want to build a mobile website

    $464 (Avg Bid)
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    Problem statement Write and execute a MapReduce program to figure out the top 100 trending songs from Saavn’s stream data, on a daily basis, for the week December 25-31. Although this is a real-time streaming problem, you may use all the data till the (n−1)th day to calculate your output for the nth day, i.e. you may consider all the stream data till 24 December (included) in your prog...

    $213 (Avg Bid)
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    The data is from the 2015 RecSys challenge and can be found at [login to view URL] . We have two sets of data. The first one contains the click information and the other contains the buy information. I just want to retrieve top 10 click results using hadoop and mapreduce. You can find the complete code link below [login to view URL]

    $77 (Avg Bid)
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    3 bids

    Top Map Reduce Community Articles