big data
22 statements across 13 episodes · 6 bullish · 9 bearish · 12 people on the record · first statement Dec 5, 2013 by Matt Turck · across every show →
Everything said about big data, oldest first
Dec 5, 2013 bullish
Dec 5, 2013
Turck predicted big data advantages would become temporary table stakes
“I think that the, I think the advantage that big data is going to give to companies is going to be temporary. I think it's going to be evolving towards being, ah, something like, ah, like what zero stock was to manufacturing a few years ago where, you know, at…”
Dec 5, 2013 bearish
Turck argued the 2012 NYC tech community lacked an engineering culture
“And three, I think that big data is a very interesting opportunity for us, for the, ah, New York tech community to really build an engineering culture in this city, ah, which hasn't been the case so far, but for reasons I'll discuss.”
Dec 5, 2013 bullish
Dec 5, 2013 negative
Dec 5, 2013 positive
Mar 3, 2014 neutral
Aster Data was among the first companies to position around "Big Data"
“Aster was one of the first companies that you, that we used it as our major positioning statement, and I do believe we had the first big data event. Although I may be wrong, but nobody has, ah, nobody has, ah, told me otherwise so far.”
Mar 3, 2014 negative
Mar 3, 2014 neutral
Subramanian in 2014: Big data requires C-level data executives to succeed
“And honestly, to me, this whole hype will all be real and make sense if, in five, 10 years from now, There is, like, C-level execs, more like me, who are, who actually own the data function, own the science function, and if that actually happens, then this who…”
Jan 15, 2015 positive
Jan 15, 2015
Jan 15, 2015 neutral
Jan 15, 2015 neutral
Wallach: Big data sets differ from physics data by documenting human behavior
“Unlike the data sets arising in physics, the data sets that typically fall under the big data umbrella are about people, Their attributes, their actions, and their interactions. That is to say these are social data sets that document people's lives, behaviors …”
Dec 17, 2015 negative
Dec 17, 2015 negative
Extracting and moving big data into separate data marts creates severe overhead
“It's also a huge maintenance problem. So, a lot of customers we talk to don't want to, you know, forget about the network performance or the CPU computation, right? It's just a management overhead of now there are two copies of something as logically the same.”
Dec 17, 2015 positive
Big data analytics sharing should mirror GitHub's clone and fork model
“When I think of sharing, I think of the GitHub model, right, where it's not, here's your final published product, but here is, clone it, fork it, and this is how I derive at those insights, so other people can learn from those insights, and that's really impor…”
Jan 25, 2016 negative
Jan 25, 2016 bullish
Scholnick: AI commercialization will replicate the massive enterprise boom of Big Data
“And to me it feels like, Big data. Maybe six or seven years ago where companies were real waking up and realizing we have all these data assets. We need to do something with them. And that led to the rise of Hadoop and the Hadoop vendors and then, you know, a …”
May 18, 2018 negative
May 18, 2018 negative
Oct 27, 2021 neutral
Turck: Big data, AI, and automation form a single continuous trend
“Ultimately it's all the same thing. It's all the same trend, which is basically turning companies from sort of like analog companies that run on, you know, sending Excel spreadsheets around with a lot of manual processes into companies that are intelligent and…”