4 Myths of Big Data Analytics and Data Science: The Facebook Experience (Video)

[youtube https://www.youtube.com/watch?v=_4EtOKViIrU?rel=0]

Ken Rudin, Facebook, at HP Big Data 2015

Four myths of Big Data Analytics:

  1. If you want to build a big data system you have to use Hadoop–way too narrow of a perspective
  2. Big data always provides better answers–not always true
  3. Data Science is a science–if you only focus on the science, you are going to fail
  4. Actionable insights is the goal for big data analytics or any analytics–that’s just plain wrong.

About GilPress

I'm Managing Partner at gPress, a marketing, publishing, research and education consultancy. Also a Senior Contributor forbes.com/sites/gilpress/. Previously, I held senior marketing and research management positions at NORC, DEC and EMC. Most recently, I was Senior Director, Thought Leadership Marketing at EMC, where I launched the Big Data conversation with the “How Much Information?” study (2000 with UC Berkeley) and the Digital Universe study (2007 with IDC). Twitter: @GilPress
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