4 myths surrounding Big Data | #HPBigData2015
by Amber Johnson | Aug 12, 2015
Facebook is one of the heaviest users of Big Data analytics. During a keynote address at the HP Big Data Conference 2015, Ken Rudin, head of analytics at Facebook, broke down four common myths surrounding Big Data.
The first is that in order to have a Big Data system, you have to use Hadoop. Rudin asserted companies should focus on Big Data from the perspective of business needs, which will lead to a broader look at technology. Rudin said that Hadoop is not always the answer, and sometimes it is even the “wrong tool.” Facebook uses relational database technologies to extend its results, whereas it uses Hadoop to look though “mountains and mountains of data to find the gems,” including the historical data. Rudin recommended asking, “What technology is the best tool for the job?”
Big Data Does Not Always Provide Better Answers
Another misconception is that “Big Data provides better answers,” but Rudin repudiated this assumption by saying that Big Data leads to “more answers and deeper insight on data.” Rudin said that Big Data often results in “brilliant answers to questions that no one cares about.” He stated the best way to better answers is not to throw Big Data at a problem, but to formulate better questions. Furthermore, the path to better questions requires the best people asking how to get solutions to business problems.
To that end, Facebook sends its people to a two-week “Data Camp” where they learn a common language on how to use data. This hits on the third myth Rudin covered: “that data science is a science.”
Rudin commented that businesses must also look at the art side of data science. He claimed that only 50 percent of data science has to do with “how to use the tool” and the other 50 percent stems from “how to frame questions to answer with data.” Rudin said, “A good idea is like sandpaper; it can’t make a good idea, but it can shape it” through an understanding of the industry.
Lastly, Rudin spoke about the assumption that “actual insight is the goal of analytics.” He countered that results from that insight are the true goal. Rudin advocated that data scientists have to make sure that people act on your insight” by evangelizing your insight.
@theCUBE
#HPBigData2015
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
HP Vertica Big Data Conference 2015 | Boston. If you don’t think you received an email check your
spam folder.
Sign in to HP Vertica Big Data Conference 2015 | Boston.
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 HP Vertica Big Data Conference 2015 | Boston
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 HP Vertica Big Data Conference 2015 | Boston.
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
HP Vertica Big Data Conference 2015 | Boston. If you don’t think you received an email check your
spam folder.
Sign in to HP Vertica Big Data Conference 2015 | Boston.
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 HP Vertica Big Data Conference 2015 | Boston
Please sign in with LinkedIn to continue to HP Vertica Big Data Conference 2015 | Boston. 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
Keynote Day 2 - HP Big Data 2015 - theCUBE
4 myths surrounding Big Data | #HPBigData2015
by Amber Johnson | Aug 12, 2015
Facebook is one of the heaviest users of Big Data analytics. During a keynote address at the HP Big Data Conference 2015, Ken Rudin, head of analytics at Facebook, broke down four common myths surrounding Big Data.
The first is that in order to have a Big Data system, you have to use Hadoop. Rudin asserted companies should focus on Big Data from the perspective of business needs, which will lead to a broader look at technology. Rudin said that Hadoop is not always the answer, and sometimes it is even the “wrong tool.” Facebook uses relational database technologies to extend its results, whereas it uses Hadoop to look though “mountains and mountains of data to find the gems,” including the historical data. Rudin recommended asking, “What technology is the best tool for the job?”
Big Data Does Not Always Provide Better Answers
Another misconception is that “Big Data provides better answers,” but Rudin repudiated this assumption by saying that Big Data leads to “more answers and deeper insight on data.” Rudin said that Big Data often results in “brilliant answers to questions that no one cares about.” He stated the best way to better answers is not to throw Big Data at a problem, but to formulate better questions. Furthermore, the path to better questions requires the best people asking how to get solutions to business problems.
To that end, Facebook sends its people to a two-week “Data Camp” where they learn a common language on how to use data. This hits on the third myth Rudin covered: “that data science is a science.”
Rudin commented that businesses must also look at the art side of data science. He claimed that only 50 percent of data science has to do with “how to use the tool” and the other 50 percent stems from “how to frame questions to answer with data.” Rudin said, “A good idea is like sandpaper; it can’t make a good idea, but it can shape it” through an understanding of the industry.
Lastly, Rudin spoke about the assumption that “actual insight is the goal of analytics.” He countered that results from that insight are the true goal. Rudin advocated that data scientists have to make sure that people act on your insight” by evangelizing your insight.
@theCUBE
#HPBigData2015
