In this final chapter, we are going to see how data from different sources can be loaded into R for performing the data analytics operations. Here, we have considered some of the popular databases that are being used as data storage, required for performing data analytics with different applications and technologies. As we know, performing the analytics operations with R is quite easy as compared to the other analytics tools and again, it's free and open source. Since, R has available methods to use customized functions via installing R packages, many database packages are available in CRAN to perform database connection with R. Therefore, the R programming language is becoming more and more popular due to database, as well as operating system, independence.
We have specially designed this chapter to share knowledge of how data from various database systems can be loaded and used into R for performing data modeling. In this chapter...