R Big Data Training Chennai
The base R distribution is designed to operate with data that fits into computer memory. Often, the data we want to analyze is so large that processing it all in the memory of a single computer isn’t possible. In some cases, we can take advantage of on-demand computing resources, such as Amazon’s EC2, and have access to machines with over 100 GB of memory. To do this efficiently, however, we often need to be aware that processing very large data sets, even in memory, can still be very time consuming in R and we may continue to need a way to improve performance. Consequently, the approaches for handling BigData in R can be roughly grouped into three broad areas.
- The amount of data that you want to analyze might not fit in the memory of one machine
- The amount of time needed to process all of the data might be considerable, and you can split up the processing among machines or nodes in a cluster
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