Hadoop and R

R is a data science programming tool for analyzing statistical data on models and translating analytical results into colorful graphics. R without the doubt is the most preferred programming tool for statisticians, data scientists, data analysts, and data architects, but when working with large datasets, it is short. One major disadvantage of the R programming language is that all objects are loaded into a single machine's main memory. Large petabyte size datasets cannot be loaded into the RAM. Hadoop is an ideal solution when it is integrated with R language. Data scientists must limit their data analysis to a sample of data from the large dataset to adapt to the single machine limitation of the R programming language in memory. When dealing with big data, this limitation of the R programming language is a major obstacle. Since R is not very scalable, only limited data can be processed by the core R engine. Its data processing capacity is limited to one node memory. This limits...