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. Ansæt Map Reduce Developers


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    I have research paper for the paralel k-means algorithm implemented on hadoop map-reduce I need to apply the pseudo code of the paper exactly on Hadoop map-reduce to cluster given dataset in parallel

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    Hello, I need help transcribe a 1 hour long video to text. I would like for the text to be segmented, paragraphed and formatted to make it easier to read and understand the idea. The video contains Data Science terminology. so being familiar with Data science terminology is a huge plus. Slides of the video presentation will also be provided and I would like for the text to match the slides order....

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    For this project you have to know Hadoop. I do not need webdesign or anything else – just an Hadoop expert. The task: fill attached picture with life and apply it to the banking sector (e.g. what happens at the mapping stage, what at the reducer stage). Very specific. One example related to banking only. No theory - practical. Including the code. All in all 2 pages max. This is for a tutoria...

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