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. Πρόσλαβε Map Reduce Developers
Perform Market basket Analysis on big data using Apriori or PCY algorithm. The code should be distributed in nature and written using Hadoop MapReduce and implementation of MRJob library is mandatory.
Hi I have an Apache Hadoop cluster on Virtual box I would like to use cloudera manager to manage the already existing Hadoop cluster ( all nodes are VMs) Also I want you to show me how to use Ranger KMS. Please if you don’t understand what I need don’t waste my time and yours