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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Browse Jobs on Freelancer

Project/Contest Description Bids/Entries Skills Started Ends Price (AUD)
VAST Google player IMA / VAST/PAID 1 Scrum Development, Map Reduce, Scrum, iBeacon Feb 19, 2017 Feb 19, 20173d 23h $1018
Data structure in Hadoop and Java Hello I need a freelancer to assist me to do the following: 1- read text 1 2- sorting tokens 3- calculate term frequency 4- read text 2 ... so on It must be done in Java in Hadoop I did some work, I will share with a short list of bidders Regards 26 Java, Data Mining, Big Data, Hadoop, Map Reduce Feb 18, 2017 Feb 18, 20172d 20h $5
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