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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

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