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
I am looking for someone who is expert in Hadoop Map Reduce, Machine Learning and Python/java to help me in Loan default prediction with Map Reduce using any machine learning model and Java/Python programming language in Hadoop cluster. Loan default prediction is to predict whether the customer is going to pay the loan back or not based on the data given.