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. Contratar a Map Reduce Developers
Hello, I need assist of Hadoop mapreduce expert Task: Implement the median string Motif search algorithm using MapReduce on a Hadoop platform that you are required to install and configure on amazon AWS. A minimum of 2 VM instances are needed to achieve minimum parallelism. Algorithms and text will be provided. Note: You should work your own AWS account. Thanks
I am looking for a trainer with 5-6 years of experience as a Hadoop developer with PySpark and (AWS or Azure) optional. I need someone to train me on the above technologies and guide me to get hands-on experience.