I know this is not a new concept by any stretch in R, and I have browsed the High Performance and Parallel Computing Task View. With that said, I am asking this question from a... moreI know this is not a new concept by any stretch in R, and I have browsed the High Performance and Parallel Computing Task View. With that said, I am asking this question from a point of ignorance as I have no formal training in Computer Science and am entirely self taught.
Recently I collected data from the Twitter Streaming API and currently the raw JSON sits in a 10 GB text file. I know there have been great strides in adapting R to handle big data, so how would you go about this problem? Here are just a handful of the tasks that I am looking to do:
Read and process the data into a data frame
Basic descriptive analysis, including text mining (frequent terms, etc.)
Plotting
Is it possible to use R entirely for this, or will I have to write some Python to parse the data and throw it into a database in order to take random samples small enough to fit into R.
Simply, any tips or pointers that you can provide will be greatly appreciated. Again, I won't take offense if you describe solutions at a 3rd... less