Map Reduce Jobs and Contests

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.
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Project/Contest Description Bids/Entries Skills Started Ends Price (AUD)
Hadoop and MapReduce Expert I need Hadoop and MapReduce expert for some simple tasks. More details via pm. 9 Java, Big Data, Hadoop, Map Reduce Feb 25, 2017 Today6d 3h $132
Python programming for multiplying two matrices. Multiply two matrices using python programming and map reduce. Two input matrices will be given you need to multiply them using Map Reduce in python programming. 16 Python, Map Reduce Feb 24, 2017 Feb 24, 20175d 8h $57
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