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Hadoop &!
Machine Learning
@hadooping
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Rules of the road....
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Whatever
happens...
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tweet
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tweet
(or whatever floats yer boat)
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What is Hadoop?!
!
!
!
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What is Hadoop?!
A real quick overview (AP)!
!
!
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What is Hadoop?!
A real quick overview (AP)!
Word count == Hello World!!
!
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What is Hadoop?!
A real quick overview (AP)!
Word count == Hello World! !
A more useful example!
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What is Hadoop?!
A real quick overview (AP)!
Word count == Hello World! !
A more useful example!
Machine Learning!
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What is Hadoop?!
A real quick overview (AP)!
Word count == Hello World! !
A more useful example!
Machine Learning!
Q & A
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>> What is Hadoop?!
!
!
!
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An open source framework for
storing and large scale
processing of data sets on
clusters of commodity
hardware.!
!
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!
>>Is it shiny and hot?!
!
!
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Depends who you ask....
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No content
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Clusters == lots of processing...!
!
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It goes to 11.!
!
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Uses MapReduce wonderfully.!
!
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>>A real quick overview (AP)
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AP = Audience Participation
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AP = Audience Participation!
!
(and I know you’ll all hate me for it but I really don’t
care that much, we’ll still be friends....)
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AP = Audience Participation!
A quick sort!
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AP = Audience Participation!
A quick sort with MapReduce!
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>>WordCount == Hello World!!
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Basic MapReduce in Action!
WordCount!
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Basic MapReduce in Action!
WordCount!
It’s boring but explains it well.
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Basic MapReduce in Action!
WordCount!
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Map in parallel
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>>A more useful example
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>>A more useful example!
!
The coffee shop....
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20,000 customers with !
13 month sales data
1,3,11,6,10,7,10,12,9,7,6,10,14,5
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20,000 customers
1. The average 12 month sales.!
2. The variance!
3. The month 13 sales drop against the average!
4. Number months which are 40% below avg.
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20,000 customers
So far we’ve only output to one file. Now I want
to segment my customers into groups I can
market to.
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>>Recommending Stuff
1000 Users, 5000 Items !
and !
100,000 Recommendations
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>>Recommending Stuff
196 242 3 881250949
186 302 3 891717742
22 377 1 878887116
244 51 2 880606923
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>>Q&A? !
>>Thank you!
>>@hadooping!
>>http://github.com/jasebell