Does Big Data have a place in the field of Aerodynamics?

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Discussion Overview

The discussion centers on the integration of Big Data and Data Science within the field of Aerodynamics, exploring its applications, relevance, and the work environment in the aerospace industry. Participants express their interests and experiences related to these fields.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation

Main Points Raised

  • One participant questions the application of Big Data in Aerodynamics, seeking insights from those in the aerospace industry about their experiences and work environment.
  • Another participant asserts that "Big Data" is a buzzword, suggesting that data analysis is universally applicable and not unique to any specific field.
  • A different viewpoint emphasizes the significant increase in data capture capabilities due to modern instrumentation, while critiquing the commercialization of the term "Big Data" as a marketing strategy.
  • This participant warns about the potential pitfalls of data collection, highlighting the importance of understanding the context and background of the data being gathered to avoid misleading conclusions.
  • One participant expresses a desire to transition into Big Data while maintaining a background in physical sciences, indicating a personal interest in programming within the aerospace engineering context.

Areas of Agreement / Disagreement

Participants exhibit a mix of curiosity and skepticism regarding the role of Big Data in Aerodynamics. While some see potential value, others question its practical application and the effectiveness of data analysis without proper context.

Contextual Notes

There are indications of varying levels of experience with Big Data among participants, and the discussion reflects differing opinions on its utility and the challenges associated with data collection and analysis.

Who May Find This Useful

Individuals interested in the intersection of Data Science and Aerodynamics, aerospace professionals considering Big Data applications, and those exploring programming opportunities within the aerospace sector may find this discussion relevant.

jonathan1987
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I have been wondering lately, is the field of Data Science/Big Data used in the field of Aerodynamics? I know that Data Science has found great uses in areas like bioinformatics, finance, social media and sports. I am asking because the two fields I have grown interest in them. If you work in the aerospace industry and use big data, what is it like and how is the work environment? Any help would be appreciated thanks.
 
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"Big Data" is used everywhere because it has become a buzzword that at this point is just data analysis rebranded by C-Level managers.

Data analysis is useful everywhere.
 
With modern instrumentation, you can capture orders of magnitude more data that one could have before. This leads to databases that would appear "monstrous" by yesterday's standards. So to justify the purchase of some really cool, whacky-fast computer equipment; marketeers gave the information a tag so that corporate level people who have no idea what this is all about can understand the purchase. They called it "Big Data."

I deal with this working in a different arena, but one that is just as capable of generating ridiculously huge steaming heaps of nearly useless-- I mean "VERY VALUABLE"-- data.

Every generation has a few wide eyed dreamers with lots more vision than common sense. They tend to infest the hallways looking for people to talk to. They'll occasionally have lunch with sales and marketeering folk. Those clever marketeers then beginning to spew nonsense because they can't tell the difference between a wide eyed nit wit and someone who actually knows what will sell.

And that's how terms like "Big Data" get born.

Let me warn you up front about gathering data from the field. There are artifacts of the measurement process. These artifacts are usually caused by having many other priorities in the operational details. The people who gather data from many disparate sources on one very narrow parameter are actually gathering a great deal of noise. They're looking for patterns to reverse engineer someone's behavior when sitting down and talking to people is often more illuminating.

Is there still value in data analysis? YES, but before you go there, you REALLY need to spend time talking to the people and getting background data on what you're gathering and where. You have to have a very good idea of what you think the data should look like before you gather it.

I can not emphasize that last statement enough. If I had a dollar for every misguided study of "Big Data" that I've had to deal with, I'd be a wealthy man. Big Data analysis should be a lot like conducting a controlled experiment. If it isn't, you're just goofing around.
 
Hi,
I'm also looking towards getting into Big Data and I'm working in the aerospace engineering field. Trying to get out of it and do more programming but without throwing away my background in the physical sciences. We don't do Big Data where I work, just sounds interesting, since I enjoy programming. Just thought I'd piggyback onto your forum, if that's cool...
 

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