01. Day 2 Kickoff Big Data NYC #theCUBE!. (00:41)
02. Women in Tech Wednesday. (02:22)
03. Not Giving Up on the Data. (04:20)
04. Big Data as Hadoop: A Bigger Picture. (05:35)
05. The Data Science Experience. (08:40)
06. IBM's Drive to Simplify. (10:58)
07. Preview of Day 2. (11:51)
Track List created with http://www.vinjavideo.com.
--- ---
Hadoop, Big Data ecosystem shifting, analysts say | #BigDataNYC
by Tim Hawkins | Sep 28, 2016
Hadoop has always been seen the “poster child” for Big Data, and indeed the vast majority of Big Data customers use it in at least some variation. But, recently, there have been some changes within the Hadoop ecosystem, as well as some outside competition, and it is creating permanent changes to the Big Data landscape.
As day two of the BigDataNYC 2016 event kicked off at the Mercantile Annex in New York, NY, Dave Vellante (@dvellante) and Jeff Frick (@JeffFrick), cohosts of theCUBE, from the SiliconANGLE Media team, sat down to discuss highlights from the event, the big changes to the Hadoop ecosystem and the evolving Big Data landscape.
Big changes for Hadoop
One of the big themes from BigDataNYC is how many users are starting to find alternatives to the standard Hadoop ecosystem.
The various Hadoop distributions, Cloudera, MapR and Hortonworks, have always been at the heart of Hadoop, but recently developers have been looking for other solutions for Big Data, both inside the Hadoop ecosystem and outside of it. The complexity and long learning curve to being functional with Hadoop are just a few of the driving reasons developers are seeking other alternatives.
“This whole Hadoop ecosystem is really shifting,” said Vellante. “We used to spend all the time talking about Cloudera, MapR and Hortonworks, [but now] those guys are sort of like infrastructure plumbing.”
The push for Hadoop alternatives
Instead of waiting for another Hadoop distribution to address developer issues, some developers are already creating their own solutions.
“[There was a] big discussion yesterday about the cloud guys trying to create an abstraction layer above their sets of services, and in many ways creating threats to guys like Cloudera,” said Vellante.
And while several competitors are beginning to be seen as legitimate alternatives to Hadoop, companies already supporting Hadoop, such as Hortonworks and Cloudera, are not sitting idle and are beginning to offer solutions within their respective platforms.
“A lot of the Hortonworks guys are doing ‘on-prem’ stuff,” said Vellante. “They’re betting on hybrid cloud, and pure cloud is going to be an interesting dynamic for those guys to compete, specifically, with Amazon and Microsoft.”
#BigDataNYC
#theCUBE
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
BigData NYC 2016 | 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 2016 | 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 2016 | 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 2016 | 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 2016 | New York
Please sign in with LinkedIn to continue to BigData NYC 2016 | 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
Day 2 Kickoff | BigDataNYC 2016
01. Day 2 Kickoff Big Data NYC #theCUBE!. (00:41)
02. Women in Tech Wednesday. (02:22)
03. Not Giving Up on the Data. (04:20)
04. Big Data as Hadoop: A Bigger Picture. (05:35)
05. The Data Science Experience. (08:40)
06. IBM's Drive to Simplify. (10:58)
07. Preview of Day 2. (11:51)
Track List created with http://www.vinjavideo.com.
--- ---
Hadoop, Big Data ecosystem shifting, analysts say | #BigDataNYC
by Tim Hawkins | Sep 28, 2016
Hadoop has always been seen the “poster child” for Big Data, and indeed the vast majority of Big Data customers use it in at least some variation. But, recently, there have been some changes within the Hadoop ecosystem, as well as some outside competition, and it is creating permanent changes to the Big Data landscape.
As day two of the BigDataNYC 2016 event kicked off at the Mercantile Annex in New York, NY, Dave Vellante (@dvellante) and Jeff Frick (@JeffFrick), cohosts of theCUBE, from the SiliconANGLE Media team, sat down to discuss highlights from the event, the big changes to the Hadoop ecosystem and the evolving Big Data landscape.
Big changes for Hadoop
One of the big themes from BigDataNYC is how many users are starting to find alternatives to the standard Hadoop ecosystem.
The various Hadoop distributions, Cloudera, MapR and Hortonworks, have always been at the heart of Hadoop, but recently developers have been looking for other solutions for Big Data, both inside the Hadoop ecosystem and outside of it. The complexity and long learning curve to being functional with Hadoop are just a few of the driving reasons developers are seeking other alternatives.
“This whole Hadoop ecosystem is really shifting,” said Vellante. “We used to spend all the time talking about Cloudera, MapR and Hortonworks, [but now] those guys are sort of like infrastructure plumbing.”
The push for Hadoop alternatives
Instead of waiting for another Hadoop distribution to address developer issues, some developers are already creating their own solutions.
“[There was a] big discussion yesterday about the cloud guys trying to create an abstraction layer above their sets of services, and in many ways creating threats to guys like Cloudera,” said Vellante.
And while several competitors are beginning to be seen as legitimate alternatives to Hadoop, companies already supporting Hadoop, such as Hortonworks and Cloudera, are not sitting idle and are beginning to offer solutions within their respective platforms.
“A lot of the Hortonworks guys are doing ‘on-prem’ stuff,” said Vellante. “They’re betting on hybrid cloud, and pure cloud is going to be an interesting dynamic for those guys to compete, specifically, with Amazon and Microsoft.”
#BigDataNYC
#theCUBE
