Jeff Veis talks with John Furrier & Jim Kobielus at BigData NYC 2017 in New York, New York.
#BigDataNYC
#theCUBE
https://siliconangle.com/2017/10/06/is-it-too-soon-to-start-talking-about-hybrid-data-bigdatanyc/
Is it too soon to start talking about hybrid data?
There’s hybrid cloud, hybrid clusters, hybrid cars, and even hybrid theory (crossing varieties of fruit). But the mention of hybrid data will draw quizzical looks and prompt some head scratching. Actian Corp., a Silicon Valley data integration and management company, has big plans to change that.
“It’s a shift that people aren’t talking about. We’re hanging our hats on hybrid data,” said Jeff Veis (pictured), senior vice president and chief marketing officer at Actian.
Veis stopped by theCUBE, SiliconANGLE’s mobile livestreaming studio, and spoke with co-hosts John Furrier (@furrier) and James Kobielus (@jameskobielus) at the BigData NYC event in New York City. They discussed reasons why customers are interested in hybrid data and a new product that speeds up Hadoop performance. (* Disclosure below.)
Bridging data creation and consumption
Actian defines hybrid data as a combination of where and how data is created with the instance when it must be consumed and used. This bridge essentially forms the basis of its technology platform where data can be managed, integrated and analyzed across the enterprise. It is a repudiation of the “one-size-fits-all” data management model.
“When you look at the creation and consumption of data, the net is that you need not one solution, but a collection of best-fit solutions,” Veis said.
To facilitate this approach, Actian recently announced VectorH, which is designed to turbocharge the performance of Hadoop data stores. New features include data updates without slowing analytics performance, Spark-powered direct query access, and the ability to hit data file formats like ORC or Apache Parquet without transformation.
“We’ve just simplified the ability to connect to dozens of enterprise applications and get the information you need,” Veis stated.
Actian’s processing speed is made possible by leveraging multi-level in-memory capability. Data is not just in RAM, but in cache. “They can take advantage of open-source innovation, yet get what we are claiming is the fastest Hadoop analytics database,” Veis said. “We are about the technology of the future, but we’re very much about innovation that actually works.”
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of BigData NYC 2017. (* Disclosure: Actian Corp. sponsored this segment of theCUBE. Neither Actian nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
BigData NYC 2017 | New York. If you don’t think you received an email check your
spam folder.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Register For BigData NYC 2017 | New York
Please fill out the information below. You will recieve an email with a verification link confirming your registration. Click the link to automatically sign into the site.
You’re almost there!
We just sent you a verification email. Please click the verification button in the email. Once your email address is verified, you will have full access to all event content for BigData NYC 2017 | New York.
I want my badge and interests to be visible to all attendees.
Checking this box will display your presense on the attendees list, view your profile and allow other attendees to contact you via 1-1 chat. Read the Privacy Policy. At any time, you can choose to disable this preference.
Select your Interests!
add
Upload your photo
Uploading..
OR
Connect via Twitter
Connect via Linkedin
EDIT PASSWORD
Share
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
BigData NYC 2017 | New York. If you don’t think you received an email check your
spam folder.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Sign in to gain access to BigData NYC 2017 | New York
Please sign in with LinkedIn to continue to BigData NYC 2017 | New York. Signing in with LinkedIn ensures a professional environment.
Are you sure you want to remove access rights for this user?
Details
Manage Access
email address
Community Invitation
Jeff Veis, Actian | BigData NYC 2017
Jeff Veis talks with John Furrier & Jim Kobielus at BigData NYC 2017 in New York, New York.
#BigDataNYC
#theCUBE
https://siliconangle.com/2017/10/06/is-it-too-soon-to-start-talking-about-hybrid-data-bigdatanyc/
Is it too soon to start talking about hybrid data?
There’s hybrid cloud, hybrid clusters, hybrid cars, and even hybrid theory (crossing varieties of fruit). But the mention of hybrid data will draw quizzical looks and prompt some head scratching. Actian Corp., a Silicon Valley data integration and management company, has big plans to change that.
“It’s a shift that people aren’t talking about. We’re hanging our hats on hybrid data,” said Jeff Veis (pictured), senior vice president and chief marketing officer at Actian.
Veis stopped by theCUBE, SiliconANGLE’s mobile livestreaming studio, and spoke with co-hosts John Furrier (@furrier) and James Kobielus (@jameskobielus) at the BigData NYC event in New York City. They discussed reasons why customers are interested in hybrid data and a new product that speeds up Hadoop performance. (* Disclosure below.)
Bridging data creation and consumption
Actian defines hybrid data as a combination of where and how data is created with the instance when it must be consumed and used. This bridge essentially forms the basis of its technology platform where data can be managed, integrated and analyzed across the enterprise. It is a repudiation of the “one-size-fits-all” data management model.
“When you look at the creation and consumption of data, the net is that you need not one solution, but a collection of best-fit solutions,” Veis said.
To facilitate this approach, Actian recently announced VectorH, which is designed to turbocharge the performance of Hadoop data stores. New features include data updates without slowing analytics performance, Spark-powered direct query access, and the ability to hit data file formats like ORC or Apache Parquet without transformation.
“We’ve just simplified the ability to connect to dozens of enterprise applications and get the information you need,” Veis stated.
Actian’s processing speed is made possible by leveraging multi-level in-memory capability. Data is not just in RAM, but in cache. “They can take advantage of open-source innovation, yet get what we are claiming is the fastest Hadoop analytics database,” Veis said. “We are about the technology of the future, but we’re very much about innovation that actually works.”
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of BigData NYC 2017. (* Disclosure: Actian Corp. sponsored this segment of theCUBE. Neither Actian nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
