Lewis Kaneshiro & Karthik Ramasamy talk with Dave Vellante at Big Data SV 2018 at the Forager Eatery in San Jose, CA.
#BigDataSV #theCUBE
https://siliconangle.com/2018/03/13/solving-slow-data-debacle-opening-ml-ai-deployment-potential-bigdatasv/
Solving the slow data debacle: the potential of AI deployments
Organizations stuck with slow, mucky data swamps are not alone. Huge companies like Yahoo Inc. and Twitter Inc. may have the resources to create real-time streaming data platforms, but most companies are still searching for a way to provide speedy data to their users. Open source could democratize real-time data tools for more enterprises.
Taking advantage of open-source technology to create an accessible real-time solution for streaming data are Streamlio Inc. co-founders, Lewis Kaneshiro (pictured, right), chief executive officer, and Karthik Ramasamy (pictured, left), chief product officer.
“Essentially, what we are trying to do is reduce the barrier for entry to real time for all enterprises,” Ramasamy said. “So you install the system, and ingest your data, express your computation, and get the results out in one single system.”
Kaneshiro and Ramasamy spoke with Dave Vellante (@dvellante), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, at the BigData SV event in San Jose, California. They discussed the purpose behind the formation of Streamlio and how the platform allows enterprises to access new and exciting use cases that weren’t possible before, such as artificial intelligence and machine learning deployment.
Three core components under one hood
Streamlio unifies messaging, compute and stream storage through best-of-breed, open-source technology already created by Yahoo and Twitter, combining the three big data systems under one hood to serve as a single system, according to Kaneshiro and Ramasamy.
One key advantage is that use cases and persisting data are typically stateful. While the platform can be used for stateless use cases, “stateful storage becomes much easier,” said Ramasamy, who explained that stateful storage can be used to store a real intermediate state of the computation or as the staging area of the messaging, or to unlock the value after the data has been processed for the fast data.
“You can access the lazy data later, in time,” he added.
Fees for Streamlio usage are charged on a per-node basis. Why? “Simply because we have the ambition to really scale up and help enterprises,” said Kaneshiro, who envisions Streamlio being used as a fast data platform across the entire enterprise.
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the BigData SV event.
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
BigData SV 2018 | San Jose. 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 SV 2018 | San Jose
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 SV 2018 | San Jose.
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 SV 2018 | San Jose. 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 SV 2018 | San Jose
Please sign in with LinkedIn to continue to BigData SV 2018 | San Jose. 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
Lewis Kaneshiro & Karthik Ramasamy, Streamlio | Big Data SV 2018
Lewis Kaneshiro & Karthik Ramasamy talk with Dave Vellante at Big Data SV 2018 at the Forager Eatery in San Jose, CA.
#BigDataSV #theCUBE
https://siliconangle.com/2018/03/13/solving-slow-data-debacle-opening-ml-ai-deployment-potential-bigdatasv/
Solving the slow data debacle: the potential of AI deployments
Organizations stuck with slow, mucky data swamps are not alone. Huge companies like Yahoo Inc. and Twitter Inc. may have the resources to create real-time streaming data platforms, but most companies are still searching for a way to provide speedy data to their users. Open source could democratize real-time data tools for more enterprises.
Taking advantage of open-source technology to create an accessible real-time solution for streaming data are Streamlio Inc. co-founders, Lewis Kaneshiro (pictured, right), chief executive officer, and Karthik Ramasamy (pictured, left), chief product officer.
“Essentially, what we are trying to do is reduce the barrier for entry to real time for all enterprises,” Ramasamy said. “So you install the system, and ingest your data, express your computation, and get the results out in one single system.”
Kaneshiro and Ramasamy spoke with Dave Vellante (@dvellante), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, at the BigData SV event in San Jose, California. They discussed the purpose behind the formation of Streamlio and how the platform allows enterprises to access new and exciting use cases that weren’t possible before, such as artificial intelligence and machine learning deployment.
Three core components under one hood
Streamlio unifies messaging, compute and stream storage through best-of-breed, open-source technology already created by Yahoo and Twitter, combining the three big data systems under one hood to serve as a single system, according to Kaneshiro and Ramasamy.
One key advantage is that use cases and persisting data are typically stateful. While the platform can be used for stateless use cases, “stateful storage becomes much easier,” said Ramasamy, who explained that stateful storage can be used to store a real intermediate state of the computation or as the staging area of the messaging, or to unlock the value after the data has been processed for the fast data.
“You can access the lazy data later, in time,” he added.
Fees for Streamlio usage are charged on a per-node basis. Why? “Simply because we have the ambition to really scale up and help enterprises,” said Kaneshiro, who envisions Streamlio being used as a fast data platform across the entire enterprise.
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the BigData SV event.
