1.
Building Data Start-ups:<br />Fast, Big, and Focused<br />Michael E. Driscoll, CTO, Metamarkets<br />@medriscoll<br />O’Reilly Strata Online | May 25, 2011<br />

2.
The Big Data <br />Opportunity<br />

3.
The Attack of the Exponentials<br />

4.
The Attack of the Exponentials<br />

5.
The Intersection of Three Forces<br />Yields Higher Volume & Velocity of Data<br />exponential economics<br />sensor networks<br />cloud computing<br />

6.
Data Value Must Exceed Data Cost<br />

7.
Data Value Must Exceed Data Cost<br />... New Classes of Data are Now Valuable<br />

8.
Success on the Data Stack<br />Services<br />Analytics<br />Data<br />

9.
Success on the Data Stack<br />Fast<br />Services<br />Analytics<br />Fast<br />Data<br />

10.
Success on the Data Stack<br />Fast, Big<br />Services<br />Big<br />Analytics<br />Fast<br />Data<br />

11.
Success on the Data Stack<br />Fast, Big, and Focused<br />Focused<br />Services<br />Big<br />Analytics<br />Fast<br />Data<br />

12.
#1: Fast<br />

13.
Success on the Data Stack<br />Fast Data<br />real-time<br />Kdb<br />Netezza<br />Esper<br />Vertica<br />MongoDB<br />speed<br />InfoBright<br />Aster<br />MySQL<br />MapR<br />Greenplum<br />Postgres<br />batch<br />Hadoop<br />Services<br />megabytes<br />petabytes<br />scale<br />Analytics<br />free, open-source<br />Data<br />commercial<br />

14.
Fast Data With Cheap Memory<br />1964 – Univac 2k<br />$51 million/MB<br />2011 – DDR 1GB<br />1 cent/MB<br />data sources: http://www.sharkyextreme.com & http://www.webservicessummit.com/Trends/TechTrends1/img11.html, plotted with ggplot2<br />

15.
#2: Big<br />

16.
Success on the Data Stack<br />Big Analytics<br />custom<br />(hardware)<br />real-time<br />speed<br />Revolution R<br />R<br />custom <br />distributed<br />SAP<br />SAS<br />SciPy<br />SPSS<br />batch<br />Services<br />megabytes<br />petabytes<br />scale<br />Analytics<br />free, open-source<br />Data<br />commercial<br />

17.
The Promise ofAnalytics<br />extract<br />learn<br />predict<br />DATA<br />FEATURES<br />MODELS<br />“More data usually beats better algorithms.”<br />

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#3: Focused<br />

19.
Success on the Data Stack<br />Focused Services<br />Focused<br />Services<br />Analytics<br />Data<br />

20.
“Real-time, large-scale analytics in a focused vertical.”<br />credit: Joe Reisinger, Metamarkets<br />

21.
Success on the Data Stack<br />Fast, Big, and Focused<br />Focused<br />Services<br />Big<br />Analytics<br />Fast<br />Data<br />

22.
Thank You. Questions?<br />Michael E. Driscoll, CTO, Metamarkets<br />@medriscoll<br />O’Reilly Strata Online | May 25, 2011<br />