01. Adam Kocoloski, IBM Analytics, Visits #theCUBE!. (00:19)
02. How Is Cloud Changing The Data Game For Spark. (00:49)
03. Are You Designing The Data Service To Be Aware Of An Infrasctucture. (01:40)
04. How Do You Get Around Seperating Compute From Data. (03:23)
05. Will Spark Be Data Storage Aware. (05:07)
06. How Are You Getting Customers To Marry Into The Cloud And Spark. (06:22)
07. Can You Not Just Move The VM But Having Data Based Services. (08:27)
08. Are There Opportunities For Growth In Machine Learning. (09:41)
09. What Does Your Platform Look Like In The Future For Memory. (10:49)
Track List created with http://www.vinjavideo.com.
--- ---
The need to rebuild architecture for life in the Cloud | #SparkBizApps
by Nelson Williams | Jun 6, 2016
The Cloud has changed many things in the tech business, and nowhere is this more true than the world of analytics. The needs and ways of the Cloud are foreign territory to traditional database services, while the possibilities of the Cloud reveal themselves to most businesses only over time. It’s a strange place. To work in the Cloud, business must change their data architecture to match this new world.
To shed some light on the ways of data in the Cloud, John Walls and George Gilbert (@ggilbert41), cohosts of theCUBE, from the SiliconANGLE Media team, visited the Apache Spark Maker Community Event in San Francisco. There, they spoke to Adam Kocoloski, CTO of Cloud Data Services at IBM Analytics.
Building for the Cloud
The conversation opened up with a look at the needs of analytics in the Cloud.
“You have to architect for the Cloud,” Kocoloski said. He explained how when workloads reach a certain scale, it makes sense to optimize the hardware for them. But, a company only gets that scale when they bring lots of people and projects together. We’re seeing a gradual evolution where some of the tenets are being rethought, he said.
Guiding a journey to the Cloud
People are at different stages in their analytics journey, Kocoloski said. Some go from on-premise to the Cloud and want the same things they’ve always gotten. We have offerings that cater to that kind of model. Once people are in the Cloud, they discover the benefits of the Cloud’s elasticity and begin to experiment, he continued.
We’re going to see this convergence, Kocoloski said. We started with the like-for-like, moved to a discovery phase, and then driving workloads to the Cloud.
The discussion turned toward machine learning. Kocoloski explained how the sudden spike in interest for machine learning was driven by a huge amount of data and the power of modern compute. “We can demonstrate the value in machine learning,” he said.
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
Apache Spark Maker Community Event, by IBM 2016 | San Francisco. If you don’t think you received an email check your
spam folder.
Sign in to Apache Spark Maker Community Event, by IBM 2016 | San Francisco.
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 Apache Spark Maker Community Event, by IBM 2016 | San Francisco
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 Apache Spark Maker Community Event, by IBM 2016 | San Francisco.
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
Apache Spark Maker Community Event, by IBM 2016 | San Francisco. If you don’t think you received an email check your
spam folder.
Sign in to Apache Spark Maker Community Event, by IBM 2016 | San Francisco.
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 Apache Spark Maker Community Event, by IBM 2016 | San Francisco
Please sign in with LinkedIn to continue to Apache Spark Maker Community Event, by IBM 2016 | San Francisco. 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
Adam Kocoloski, IBM Analytics - Apache Spark Makers Event 2016 - #theCUBE
01. Adam Kocoloski, IBM Analytics, Visits #theCUBE!. (00:19)
02. How Is Cloud Changing The Data Game For Spark. (00:49)
03. Are You Designing The Data Service To Be Aware Of An Infrasctucture. (01:40)
04. How Do You Get Around Seperating Compute From Data. (03:23)
05. Will Spark Be Data Storage Aware. (05:07)
06. How Are You Getting Customers To Marry Into The Cloud And Spark. (06:22)
07. Can You Not Just Move The VM But Having Data Based Services. (08:27)
08. Are There Opportunities For Growth In Machine Learning. (09:41)
09. What Does Your Platform Look Like In The Future For Memory. (10:49)
Track List created with http://www.vinjavideo.com.
--- ---
The need to rebuild architecture for life in the Cloud | #SparkBizApps
by Nelson Williams | Jun 6, 2016
The Cloud has changed many things in the tech business, and nowhere is this more true than the world of analytics. The needs and ways of the Cloud are foreign territory to traditional database services, while the possibilities of the Cloud reveal themselves to most businesses only over time. It’s a strange place. To work in the Cloud, business must change their data architecture to match this new world.
To shed some light on the ways of data in the Cloud, John Walls and George Gilbert (@ggilbert41), cohosts of theCUBE, from the SiliconANGLE Media team, visited the Apache Spark Maker Community Event in San Francisco. There, they spoke to Adam Kocoloski, CTO of Cloud Data Services at IBM Analytics.
Building for the Cloud
The conversation opened up with a look at the needs of analytics in the Cloud.
“You have to architect for the Cloud,” Kocoloski said. He explained how when workloads reach a certain scale, it makes sense to optimize the hardware for them. But, a company only gets that scale when they bring lots of people and projects together. We’re seeing a gradual evolution where some of the tenets are being rethought, he said.
Guiding a journey to the Cloud
People are at different stages in their analytics journey, Kocoloski said. Some go from on-premise to the Cloud and want the same things they’ve always gotten. We have offerings that cater to that kind of model. Once people are in the Cloud, they discover the benefits of the Cloud’s elasticity and begin to experiment, he continued.
We’re going to see this convergence, Kocoloski said. We started with the like-for-like, moved to a discovery phase, and then driving workloads to the Cloud.
The discussion turned toward machine learning. Kocoloski explained how the sudden spike in interest for machine learning was driven by a huge amount of data and the power of modern compute. “We can demonstrate the value in machine learning,” he said.
