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How to work with Big Data in .NET and is it necessary?
Recently, Habr is full of posts about BigData. In addition, everyone must have seen the competition from Beeline.
I wrote an application in C# (with absolutely no idea about algorithms and BigData approaches), which at first gave 61+% of hits. I can’t say that I tried hard - I just wrote the first algorithm that came to mind. Yesterday, by the way, I tweaked it a bit and it already gave out 69.48%, but didn’t change anything in principle, just weeded out the “garbage”.
But, of course, it became interesting to me - how do normal specialists cope with such tasks.
I found that R is the leader in this area, followed closely by Python. This couple is the de facto standard.
At the same time, on many resources I read about the use of many other languages, in particular Java / Scala.
Even Excel is used for such purposes.
But didn't find anything about using .NET (C#).
Maybe the elephant did not notice?
1) Are there libraries for statistical data processing and machine learning for C#?
If so, I'd like to see recommendations.
2) Does C# have fatal flaws that prevent it from being used for the above purposes?
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Apparently I didn’t search well the first time, now I came across https://pragmaticdevs.wordpress.com/2014/09/03/get...
The principle is clear. I'll take it apart further. If it works, I'll post it here.
in C#, you can implement whatever you want, the main thing is to have direct hands.
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