R is a popular statistical programming language with wide range of extensions/packages that support data processing and machine learning tasks. However, data analysis in R is often limited by two main factors:
- Single threaded runtime environment: This often increasing the processing and makes your data analysis slow.
- Limitation of single machine’s memory: When accessing data stored in a data.frame or CSV file or any other format in R, the entire data must all fit in memory and this becomes a bottleneck when using a large dataset.
In this chapter, we will discuss how to overcome the two major pain points of R stated earlier by accessing data from datastore (MySql and MongoDB) or running analysis on distributed system with Apache Spark or even leveraging other multi threaded environment such as Java.
Datastore such as MongoDB or MySql are more efficient at...