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Data Manipulation with R by Jaynal Abedin

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Chapter 5. R and Databases

We noticed earlier that a dataset can be stored in any format using different software as well as relational databases. Usually, large-scale datasets are stored in database software. In data mining and statistical learning, we need to process large-scale datasets. One of the major problems in R is memory usage. R is RAM intensive, and for that reason, the size of a dataset should be much smaller than its RAM. Also, one of the major drawbacks of R is its inability to deal with large datasets.

This chapter introduces how to deal with large datasets that are bigger than the computer's memory and dealing with a dataset by interacting with database software. In the first few sections, we describe how to interact with database ...

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