01. Rob Thomas, IBM, Visits #theCUBE. (00:22)
02. Joel Horwitz, IBM, Visits #theCUBE. (00:44)
03. Big Data Maturity Curve. (00:50)
04. Hadoop Is Becoming More of a Storage Environment. (02:45)
05. Does Scale Up or Scale Out Really Matter. (04:45)
06. Datapalooza: Three Day Training Event. (06:43)
07. New Products: Big Integrate and Big Quality. (09:06)
08. Differentiating from the Competition. (10:58)
09. Making Strong Investments in the Open Source Community. (11:51)
10. IBM Cloud Data Services. (13:44)
11. Reaching New Communities. (17:16)
12. Myth: All Machine Learning Is Created Equal. (19:43)
13. Myth: Adoption of New Technologies. (21:00)
14. Upcoming Events: Datapalooza and Spark Summit. (22:04)
15. Spark Has Been Built Like a Stand Alone Company. (22:40)
Track List created with http://www.vinjavideo.com.
--- ---
Big Data trends: Outcomes not architecture | #BigDataNYC
by Marlene Den Bleyker | Sep 29, 2015
As Big Data hits the Big Apple, industry insiders are beginning to see big shifts in customer requirements for their data. What are the current trends?
Rob Thomas, vice president of product development, analytics for IBM, and Joel Horwitz, director of marketing analytics for IBM, sat down with John Furrier, host of theCUBE, from the SiliconANGLE Media team, during BigData NYC 2015 to discuss the customer trends they are seeing in the industry.
A maturity curve
Thomas explained that Big Data has a maturity curve. He has seen a major change over the past five years. He said, “When I talked to clients in the past, it was about storage and extending the warehouse. Now it’s about line of business conversations, analytics, applications and how to build business models around data.”
When asked about trends in how companies are scaling their systems, Thomas noted that the huge trend is diversity. He said that from a customer perspective the value comes from machine learning. “Scale up or scale out is interesting for the guy running the cloud environment, but it doesn’t change the outcome or the insight a client is getting.”
Delivering analytics
For the team at IBM, the discussion has shifted to outcomes not architecture. The goal is to make it easy for the customer to gather and evaluate analytics.
Horwitz and Thomas both have strong feelings about what Hadoop is and is not. According to Horwitz, “Hadoop is becoming a storage environment.” He believes that Spark is accelerating Hadoop and making analytics easier to capture.
Misguided or myth
Commenting on some misguided concepts and myths in the industry, the pair had some interesting takeaways. Horwitz stated, “All machine learning is not created equal.” He suggested that there are different levels out there right now and he feels that there is a need for an industry standard.
Thomas feels that the adoption of new technology is not happening as fast as people think. Indicating that there are gaps in skill levels, he said, “Most enterprises have IT skills, but they need data science skills. Until they close that gap, adoption will not be as fast.”
@theCUBE
#BigDataNYC
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
BigData NYC 2015 | 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 2015 | 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 2015 | 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 2015 | 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 2015 | New York
Please sign in with LinkedIn to continue to BigData NYC 2015 | 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
Rob Thomas & Joel Horwitz, IBM - #BigDataNYC 2015 - #theCUBE
01. Rob Thomas, IBM, Visits #theCUBE. (00:22)
02. Joel Horwitz, IBM, Visits #theCUBE. (00:44)
03. Big Data Maturity Curve. (00:50)
04. Hadoop Is Becoming More of a Storage Environment. (02:45)
05. Does Scale Up or Scale Out Really Matter. (04:45)
06. Datapalooza: Three Day Training Event. (06:43)
07. New Products: Big Integrate and Big Quality. (09:06)
08. Differentiating from the Competition. (10:58)
09. Making Strong Investments in the Open Source Community. (11:51)
10. IBM Cloud Data Services. (13:44)
11. Reaching New Communities. (17:16)
12. Myth: All Machine Learning Is Created Equal. (19:43)
13. Myth: Adoption of New Technologies. (21:00)
14. Upcoming Events: Datapalooza and Spark Summit. (22:04)
15. Spark Has Been Built Like a Stand Alone Company. (22:40)
Track List created with http://www.vinjavideo.com.
--- ---
Big Data trends: Outcomes not architecture | #BigDataNYC
by Marlene Den Bleyker | Sep 29, 2015
As Big Data hits the Big Apple, industry insiders are beginning to see big shifts in customer requirements for their data. What are the current trends?
Rob Thomas, vice president of product development, analytics for IBM, and Joel Horwitz, director of marketing analytics for IBM, sat down with John Furrier, host of theCUBE, from the SiliconANGLE Media team, during BigData NYC 2015 to discuss the customer trends they are seeing in the industry.
A maturity curve
Thomas explained that Big Data has a maturity curve. He has seen a major change over the past five years. He said, “When I talked to clients in the past, it was about storage and extending the warehouse. Now it’s about line of business conversations, analytics, applications and how to build business models around data.”
When asked about trends in how companies are scaling their systems, Thomas noted that the huge trend is diversity. He said that from a customer perspective the value comes from machine learning. “Scale up or scale out is interesting for the guy running the cloud environment, but it doesn’t change the outcome or the insight a client is getting.”
Delivering analytics
For the team at IBM, the discussion has shifted to outcomes not architecture. The goal is to make it easy for the customer to gather and evaluate analytics.
Horwitz and Thomas both have strong feelings about what Hadoop is and is not. According to Horwitz, “Hadoop is becoming a storage environment.” He believes that Spark is accelerating Hadoop and making analytics easier to capture.
Misguided or myth
Commenting on some misguided concepts and myths in the industry, the pair had some interesting takeaways. Horwitz stated, “All machine learning is not created equal.” He suggested that there are different levels out there right now and he feels that there is a need for an industry standard.
Thomas feels that the adoption of new technology is not happening as fast as people think. Indicating that there are gaps in skill levels, he said, “Most enterprises have IT skills, but they need data science skills. Until they close that gap, adoption will not be as fast.”
@theCUBE
#BigDataNYC
