June 2016
Beginner to intermediate
398 pages
8h 51m
English
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Simulation and big data
Big unstructured data is often analyzed nowadays, or used as auxiliary information. Running simulations on big data is a challenge.
Big data can be too large to fit in the memory of a desktop computer. Whenever this happens, basically three options are available to choose from. The first option is to just use a more powerful server with a larger amount of memory for your computations. Second, the data can also be stored efficiently in a database and we connect to the database for analysis. Typically, only a subset of the data is of interest, so we can just grab the interesting parts of the database, import it to R, do the analysis, and export the results back to the database. Since R has excellent features and APIs for connecting ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.