The BigDataNYC 2016 conference wrapped today after multiple days of conversations and controversy over the destiny of data for enterprises. Everyone offered their own opinions on where the gold is today, and where it might be tomorrow. Outstanding are a couple of trends that seem to be solidifying enough to last until the 2017 conference (maybe).

Dave Vellante (@dvellante), cohost of theCUBE, from the SiliconANGLE Media team, remarked that it seemed only yesterday companies predicted they’d profit from selling their data. “A lot of companies made the mistake early on of, ‘OK, well how are we going to monetize our data?’ Well, you can’t. You’re going to go compete against data markets?” he said.

Cohost Peter Burris (@plburris) clarified that companies will monetize data through mixing it into their business models, not through sticking a price tag on it. “There was this whole notion of the data economy where everybody was going to sell data to each other,” Burris recalled. “And a good data scientist gets in the middle of that and says, ‘Yes, please, because I’ll take all your data, and I will re-engineer your customers, what your customers want, what your customers are buying — I will take all your customers away from you in a week and a half.'”

Open-source fatigue

Vellante and Burris lamented the “broken promises” of open source and its failure so far to solve Big Data problems at scale.

“A lot of hard work is going to go into making all of this stuff deliver on these enormous promises that, quite frankly, will deliver. But it’s just going to take a little bit of time,” Burris said.

Vellante said services that deliver all-in-one solutions are looking more attractive than open-source lately. “People don’t really know how to use Flume and Scoop and Hive and Pig and all these other toolsets, so what do they do? They call Cloudera,” he said.

Watch the complete video interview below, and be sure to check out more of SiliconANGLE and theCUBE’s coverage of BigDataNYC 2016.

Photo by SiliconANGLE