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. Hire Map Reduce Developers
This project aims at conducting research and analysis on Yelp challenge dataset to predict the success rate of a new restaurant given its location. The algorithms that we are planning to use are NaveBayes, Scalar Vector Machines, Logistic Regression and Neural Networks.
I am looking for cloudera Engineer who can work after 5 pm eastern time.. This is a long term project and the person must be willingly to work long term.. Need someone with good experience and be friendly.. The following experience is needed. -Hadoop -Cloudera 5.10 or higher -Hive