These are chat archives for FreeCodeCamp/DataScience
discussion on how we can use statistical methods to measure and improve the efficacy of http://freeCodeCamp.com
jomcode sends brownie points to @darwinrc :sparkles: :thumbsup: :sparkles:
mesmoiron sends brownie points to @erictleung :sparkles: :thumbsup: :sparkles:
By the way... (@erictleung)
MS, as many other big ones, is investing a lot on acquiring Open Source technology nowadays. The last year was the time for R-evolution Analytics. I was actually unaware until I found that the logo of a training I took with them 3 years ago changed into MS on my linkedin just few days ago.
But this is important. For those who don't know what R-evolutions does, they were mostly focus on on the Big Data applications and libraries of R and a sort of Nonprofit consultancy/certification organisation, just like Cloudera is for Hadoop technologies.
Much of the current Open Source technologies will stay so, but in the future certification will be the way to go, just like it has been for MySQL (first Sun Microsystems, then Oracle). It happens that for many big organisations acquisition is a way to kill the innovation, not necessarily by avoiding its use but by deterring continuity and slowing down momentum in favour of their in-house products.
By the way, who have heard about MySQL since the takeover by Oracle? Is MySQL still in use? Nowadays Nonsql is more popular though.
@evaristoc I didn't know that it happened formally! That explains why this website exists https://mran.revolutionanalytics.com/. I got redirected to that site while looking up packages in R and was a bit confused. Makes sense now. Thanks! :+1:
I agree non-SQL technologies are more "popular" but probably more production systems still use standard SQL technologies (based on opinion, I don't have any evidence for that claim :smile:)
erictleung sends brownie points to @evaristoc :sparkles: :thumbsup: :sparkles:
@erictleung yeah... just confirming your comment:
probably more production systems still use standard SQL technologies
Also checking some interesting reports on Internet and found that actually what it is happening is that Open Source products might be eating the market of proprietary ones in the case of relational databases.
At least a projection in 2015. So I think the big ones are just for the time being trying to capitalise through certification and post-services, pretty much exploiting the open source capitalization model, I guess. I haven't paid attention to this one though...
Other thing could be trying to reach different markets. Open Source technology is king when it is about emerging start-ups, but those start-ups usually shift into proprietary technology once they have reached a certain level of maturity. Why? They need to pay less attention to techs and more to sales and clients. For some of them focusing on tech could be a distraction at some point. Also, big providers of services (like IBM) are usually big clients (like for example a Marketing Consultancy company). A company might adopt a proprietary product not only because will be well serviced but also because "it is the product of my main client or investor (let's say MS)".
As an analyst I find very interesting how all those companies are trying to make business... the hard part of working on this is the political part, that part the data can not tell you about, the secret meetings between top CEO's, that phone call, the confidential email or the results of an conversation in a dinner or bar. When it comes to analysing this kind of things, most of the time analysts presume to have a lot of data to bring conclusions, but there are unexpected actions or decisions we are not always aware of, really.
darwinrc sends brownie points to @alicejiang1 :sparkles: :thumbsup: :sparkles:
@alicejiang1 interesting the Ivanova... Gabasova... Dzenisenkova... Tetiana's talk.
Veeery clever I must say... and sooo convincing... although the last question comes from someone that although bitter has a point.
Actually: I would be VEERY careful in taking for granted her arguments to explain the trends. Not sure about how she handled the PhD discussion, for example... and University: well: it could be the most important signal belonging and networking point of your WHOLE life (eg. MBA's are based on that argument, basically).
Unfortunately she was very convincing but I believe she got a bit away when making her case. But good for her for being a REALLY clever person.