Herain Oberoi, Microsoft, and Bob Page, Hortonworks, at Big Data NYC 2013 with John Furrier and Dave Vellante
@thecube
#BigDataNYC
Big Data is shaking up traditional business intelligence, but that doesn't mean the two technologies can't thrive side by side. Herain Oberoi, the director of BI product management at Microsoft, stopped by theCUBE with Hortonworks vice president of products Bob Page to discuss how his company is reaching into the Hadoop ecosystem to bring analytics to a billion users.
According to Oberoi, Microsoft's Big Data strategy revolves around making Hadoop more accessible for organizations and "connecting the dots" between people and insights. The software giant is pursuing these goals with a dual approach that centers on augmenting the analytical capabilities of Excel and bringing Hadoop to Windows.
Asked about his firm's now abandoned plans to deliver an alternative Big Data framework, Oberoi says that the project was canceled two years ago after HDFS emerged as the de facto standard for batch analytics. Not to be left in the dust, Microsoft promptly teamed up with Hortonworks to establish Windows as a viable platform for Apache Hadoop and make the latter more secure and manageable along the way.
The pair's relationship is centered primarily on open source innovation, according to Page.
"Everything we do is 100 percent open source, every piece of code we write goes back to the Apache Software Foundation -- we don't own the IP there, we want to make sure that the community owns it," he explains. "That's the only way that we know of that's gonna create this ecosystem for Hadoop, this platform that is gonna de-risk any of the investments that businesses will make and you won't have multiple Hadoops but one Hadoop and that will be the one that Apache has" and Microsoft supports.
As part of their partnership, Hortonworks and Microsoft also integrated Hadoop with Excel, which boasts improvements across the board. The latest version integrates with Office 365, provides 3D geospatial visualizations, and packs natural language search and semi-structured query capabilities that enable users to easily incorporate external data into their spreadsheets.
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
BigData NYC 2013 | 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 2013 | 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 2013 | 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 2013 | 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 2013 | New York
Please sign in with LinkedIn to continue to BigData NYC 2013 | New York. Signing in with LinkedIn ensures a professional environment.
Herain Oberoi, Microsoft, and Bob Page, Hortonworks, at Big Data NYC 2013 with John Furrier and Dave Vellante
@thecube
#BigDataNYC
Big Data is shaking up traditional business intelligence, but that doesn't mean the two technologies can't thrive side by side. Herain Oberoi, the director of BI product management at Microsoft, stopped by theCUBE with Hortonworks vice president of products Bob Page to discuss how his company is reaching into the Hadoop ecosystem to bring analytics to a billion users.
According to Oberoi, Microsoft's Big Data strategy revolves around making Hadoop more accessible for organizations and "connecting the dots" between people and insights. The software giant is pursuing these goals with a dual approach that centers on augmenting the analytical capabilities of Excel and bringing Hadoop to Windows.
Asked about his firm's now abandoned plans to deliver an alternative Big Data framework, Oberoi says that the project was canceled two years ago after HDFS emerged as the de facto standard for batch analytics. Not to be left in the dust, Microsoft promptly teamed up with Hortonworks to establish Windows as a viable platform for Apache Hadoop and make the latter more secure and manageable along the way.
The pair's relationship is centered primarily on open source innovation, according to Page.
"Everything we do is 100 percent open source, every piece of code we write goes back to the Apache Software Foundation -- we don't own the IP there, we want to make sure that the community owns it," he explains. "That's the only way that we know of that's gonna create this ecosystem for Hadoop, this platform that is gonna de-risk any of the investments that businesses will make and you won't have multiple Hadoops but one Hadoop and that will be the one that Apache has" and Microsoft supports.
As part of their partnership, Hortonworks and Microsoft also integrated Hadoop with Excel, which boasts improvements across the board. The latest version integrates with Office 365, provides 3D geospatial visualizations, and packs natural language search and semi-structured query capabilities that enable users to easily incorporate external data into their spreadsheets.