While going through learning hadoop and spark, I came across "distributed data processing" and "distributed computing".
Could you let me know if they both are same or referring to different concepts?
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1Sharing your research helps everyone. Tell us what you've tried and why it didn't meet your needs. This demonstrates that you've taken the time to try to help yourself, it saves us from reiterating obvious answers, and most of all it helps you get a more specific and relevant answer. Also see How to Ask– gnatMay 6, 2020 at 20:02
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2See Distributed Computing on Wikipedia. "Distributed Information Processing" redirects there. For your purposes, you can probably consider them the same thing. However, if you like, Distributed Data Processing is the act of using Distributed Computing to process data.– Robert HarveyMay 6, 2020 at 20:32
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1 Answer
In short
Although in theory there could be a subtle difference, in practice both terms refer to the same concept.
In long
According to wikipedia:
Computing is any activity that uses computers to manage, process, and communicate information.
and:
Data processing is, generally, "the collection and manipulation of items of data to produce meaningful information." (...) it can be considered a subset of information processing
According to these definitions, data processing could be seen as a subset of computing.
However both terms were historically used interchangeably until a recent past. Because the root of computing is latin and means calculating, since early use of computers were mostly numeric calculation. So, in the early days making calculations or processing (mostly numeric) data was practically the same activity.
answered May 6, 2020 at 21:43
