Methods of integrating R and Hadoop

Data analysts or data scientists working with Hadoop might have R packages or R scripts that they use for data processing. To use these R scripts or R packages with Hadoop, they need to rewrite these R scripts in the Java programming language or any other language that implements Hadoop MapReduce. This is a burdensome process and could lead to unwanted errors. To integrate Hadoop with the R programming language, we need to use a software that is already written for R, with the data being stored in the distributed of storage Hadoop. There are many solutions for using the R language to perform large computations, but all these solutions require that the data be loaded into the memory before it is distributed to the computing nodes. This is not an ideal solution for large datasets. Here are some commonly used methods to integrate Hadoop with R...