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. Punësoni Map Reduce Developers
Some requirement in my current organization for which i have to do POC. This will involve setting up a pseduo cluster on my laptop, ETL offloading , designing a data lake , web scraper to get data from social media , and writing ml based stuff in Spark to generate meaning out of the combination of RDBMS and social media data and clearly identifying what needs to be done. helping me with preparing...