Nathan Trueblood, Product Manager at DataTorrent & Jeff Bettencourt, SVP Marketing at DataTorrent joined Lisa Martin & George Gilbert at DataWorks Summit 2017.
#DataWorks #theCUBE
https://siliconangle.com/2017/06/20/are-instant-big-data-applications-ready-for-primetime-dws17/
Are instant, big data apps ready for primetime?
Docker Inc. made its container technology for distributed software applications an overnight hit by putting an easy button on them. Can DataTorrent Inc., founded by Yahoo engineers, do the same for analytics?
“There’s no getting away from the fact that this is big data, and it’s complex systems,” said Nathan Trueblood (pictured, right), vice president of product management at DataTorrent Inc.
Trueblood and Jeff Bettencourt (pictured, left), senior vice president of marketing and business development at DataTorrent, explained the company’s efforts to chip away at that complexity during an interview at DataWorks Summit in San Jose, California.
The advertising know-how of Yahoo alumni at DataTorrent has proved useful, Bettencourt told Lisa Martin (@Luccazara) and George Gilbert (@ggilbert41), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio. (* Disclosure below.)
Despite the diverse types of data that different industry verticals ingest, DataTorrent execs noticed that their most effective big data strategies mirrored AdTech in some ways, Bettencourt explained.
“If I apply that to a distribution of products in a manufacturing facility, it’s kind of all the same kind of activities. If I’m managing a lot of inventory, I’m trying to get that inventory to the right place at the right time, and I’m trying to fill that aspect of it,” he said.
Plug-and-play big data — really?
DataTorrent decided to take the knowledge they gleaned working with customers in different verticals and base applications on it.
“We’re starting to deliver applications that you can download and run on our platform that deliver an outcome to a customer immediately,” Trueblood said. These plug-and-play applications are available in addition to DataTorrent’s full big data platform, which focuses on streaming analytics.
Big data is still a large and complex discipline, he conceded. However, DataTorrent wants to deliver outcomes to customers as quickly as possible, which will open the gate to mass adoption, Trueblood stated.
“The way to do that is by making applications available across all these different verticals,” he concluded.
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s independent editorial coverage of DataWorks Summit. (* Disclosure: Hortonworks Inc. sponsored this DataWorks Summit segment on SiliconANGLE Media’s theCUBE. Neither Hortonworks nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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Jeff Bettencourt & Nathan Trueblood | DataWorks Summit 2017
Nathan Trueblood, Product Manager at DataTorrent & Jeff Bettencourt, SVP Marketing at DataTorrent joined Lisa Martin & George Gilbert at DataWorks Summit 2017.
#DataWorks #theCUBE
https://siliconangle.com/2017/06/20/are-instant-big-data-applications-ready-for-primetime-dws17/
Are instant, big data apps ready for primetime?
Docker Inc. made its container technology for distributed software applications an overnight hit by putting an easy button on them. Can DataTorrent Inc., founded by Yahoo engineers, do the same for analytics?
“There’s no getting away from the fact that this is big data, and it’s complex systems,” said Nathan Trueblood (pictured, right), vice president of product management at DataTorrent Inc.
Trueblood and Jeff Bettencourt (pictured, left), senior vice president of marketing and business development at DataTorrent, explained the company’s efforts to chip away at that complexity during an interview at DataWorks Summit in San Jose, California.
The advertising know-how of Yahoo alumni at DataTorrent has proved useful, Bettencourt told Lisa Martin (@Luccazara) and George Gilbert (@ggilbert41), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio. (* Disclosure below.)
Despite the diverse types of data that different industry verticals ingest, DataTorrent execs noticed that their most effective big data strategies mirrored AdTech in some ways, Bettencourt explained.
“If I apply that to a distribution of products in a manufacturing facility, it’s kind of all the same kind of activities. If I’m managing a lot of inventory, I’m trying to get that inventory to the right place at the right time, and I’m trying to fill that aspect of it,” he said.
Plug-and-play big data — really?
DataTorrent decided to take the knowledge they gleaned working with customers in different verticals and base applications on it.
“We’re starting to deliver applications that you can download and run on our platform that deliver an outcome to a customer immediately,” Trueblood said. These plug-and-play applications are available in addition to DataTorrent’s full big data platform, which focuses on streaming analytics.
Big data is still a large and complex discipline, he conceded. However, DataTorrent wants to deliver outcomes to customers as quickly as possible, which will open the gate to mass adoption, Trueblood stated.
“The way to do that is by making applications available across all these different verticals,” he concluded.
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s independent editorial coverage of DataWorks Summit. (* Disclosure: Hortonworks Inc. sponsored this DataWorks Summit segment on SiliconANGLE Media’s theCUBE. Neither Hortonworks nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
