Spark

“Most things, Hadoop, Spark, Storm, they think they're running by themselves. And so they compete for resources in really interesting ways.”

“Now Spark, if it was created six, five, six years before its time would have completely failed because memory was so much more expensive.”

“So Spark is software for processing large volumes of data on a cluster, and the things that make it unique are, first of all, it has a very powerful programming model that lets you do many kinds of advanced analytics and processing, such as machine learning or…”

“It's actually the most active open source project in data processing in general as far as we can tell.”

“So it's actually one of the applications that I first tried to support in Spark was you know, the recommendation algorithm he was working on.”

“Some of the most frequently used kind of data analytics tools extremely basic, because they actually look and feel like sheet of paper, like two-dimensional sheet of paper, and you know, so that's the problem with analytics, that on one hand, we have, you know…”

“Spark doesn't subsume data warehousing. Hadoop doesn't subsume, you know, streaming. So they're just like different technologies for different jobs.”

“And frankly, it's more joyful to write Visual Basic than it is to write Go, right? That you actually achieve Business results. I mean, seriously, right? Like, writing a Spark job, you see the output right away, whereas if you write a large Go application, I me…”

“Some big pharma companies will just tend to fully integrate the company whereas others will like Roche and Spark will allow the acquired companies to operate semi-autonomously.”

“And then with the Spark acquisition same thing BMS, I'm sorry Roche was a laggard in the space, and now suddenly leaped ahead with not only a marketed gene therapy, but this AAV platform that it could use for delivering other gene therapies.”