Introduction to Big Data - ThoughtWorks
Introduction to Big Data - ThoughtWorks
Introduction to Big Data - ThoughtWorks
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<strong>Introduction</strong> <strong>to</strong> <strong>Big</strong> <strong>Data</strong><br />
7 February 2012<br />
John Spens<br />
1
What makes data ‘<strong>Big</strong>?’<br />
! Size, of course<br />
! Rate of change<br />
! Range of sources<br />
2
The information pyramid<br />
Insight<br />
Knowledge<br />
Information<br />
<strong>Data</strong><br />
3<br />
3
Exploiting <strong>Big</strong> <strong>Data</strong><br />
! Recognizing patterns of<br />
behavior<br />
! Achieving a holistic view of<br />
complex systems<br />
! Understanding the impact<br />
of our decisions<br />
Telemetry<br />
4
The <strong>Big</strong> <strong>Data</strong> conundrum<br />
! Over the past few years, the use of <strong>Big</strong> <strong>Data</strong> has moved deeper and<br />
deeper in<strong>to</strong> the IT mainstream<br />
! However, in a recent article, Gartner predicted that, “…Through<br />
2015, 85% of Fortune 500 companies will still be unable <strong>to</strong> exploit<br />
‘<strong>Big</strong> <strong>Data</strong>’ for competitive purposes”<br />
5
<strong>Big</strong> <strong>Data</strong> challenges<br />
! Technologically challenging<br />
! Involves deeper, organizational change<br />
6
Key take-aways<br />
! <strong>Big</strong> <strong>Data</strong> can provide tremendous value, but<br />
! Establish your expectations first<br />
! Be ready <strong>to</strong> adapt <strong>to</strong> change<br />
! Think before you buy<br />
7
Thank You<br />
John Spens<br />
<strong>ThoughtWorks</strong>, Inc.<br />
jspens@thoughtworks.com<br />
8<br />
8
Credits<br />
! Laney, Doug. “3D <strong>Data</strong> Management: Controlling <strong>Data</strong> Volume, Velocity,<br />
and Variety” Application Delivery Strategies, META Group, February 2001<br />
! Prentice, Steve. “Predicts 2012: Information Infrastructure and <strong>Big</strong> <strong>Data</strong>”,<br />
Gartner, November 2011<br />
! Marz, Nathan Ritchie, Samuel E. <strong>Big</strong> <strong>Data</strong>: Principles and Best Practices of<br />
scalable real-time systems, Manning Publications, 2011.<br />
9