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The paradox of big data - dataiku / oxalide APEROTECH

Dataiku
Dataiku

Half humoristic presentation featuring the success, paradox and technologies behind big data today

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The Paradox of

Big Data
2001 Programming Languages
2004 Natural Language Processing
2006 Social Recommendation
2008 Distributed Computing
2011 Social Gaming
2012 Advertising
2013 Dataiku
2009 Web Mining
Type Spent
Coding
2010
100%
100%
80%
50%
20%
0%
10%
50%
20%
Favorite
Language
C
Exascript
Exascript
Exascript
Python
Powerpoint
Python
Java
None
Largest
Dataset
100GB
100GB
10GB
10TB
100TB
100kB
500GB
100TB
10TB
I’m Florian and I like data
www.dataiku.com
Dataiku in short
Software	
  editor	
  behind	
  Data	
  Science	
  Studio,

the	
  «	
  Photoshop	
  for	
  Data	
  Science	
  »	
  
COMMUNITY	
  EDITION
http://www.dataiku.com/dss/trynow/
Goals For Today
• Big Data with the bias of what I know of it

(Analytics …)
• Big Data: History and Feelings
• What are the key technologies to watch ?
• Some practical use cases ?
• How to get started ?
Dataiku
Motivation
1/8/14
4
First Hard Drive: 3,75 Megabytes
Access Time: 1 second
IN 2008
man
invented
big data
Volume Variety Velocity

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