Advice on how to design and build your Apache Spark application for testability
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. Embaucher des Map Reduce Developers
I am looking for someone who can help in Loan default prediction with Map Reduce using machine learning technology 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. I am taking the dataset from the Lending club company which is an online lending company.
UK Based company requires an experienced Hadoop admin ( Cloudera) Only admins with proven experience of at least 2 years should apply. Ideally also some understanding of AWS Thank you