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Hw09 Counting And Clustering And Other Data Tricks

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Cloudera, Inc.
Cloudera, Inc.
Technology
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Cheap Parlor Tricks, Counting, and Clustering Derek Gottfrid The New York Times October 2009
Evolution of Hadoop @ NYTimes.com
Early Days - 2007 ,[object Object]
Solution ,[object Object],[object Object],[object Object],[object Object]
Found a Problem ,[object Object]
Problem Bits ,[object Object],[object Object],[object Object],[object Object],[object Object]
Background What goes into making a PDF of a NYTimes.com article? ,[object Object]
Simple Answer ,[object Object]
Solution ,[object Object],[object Object],[object Object],[object Object]
A Few Details ,[object Object],[object Object]
Breakdown ,[object Object],[object Object],[object Object]
TimesMachine http://timesmachine.nytimes.com
Currently - 2009 ,[object Object]
Data ,[object Object],[object Object],[object Object]
Counting ,[object Object],[object Object],[object Object],[object Object]
A Few Details ,[object Object],[object Object],[object Object],[object Object]
Usage Data July 2009 ???M Page Views ??M Unique Users
Merging Data ,[object Object]
Twitter Click Backs By Age Group July 2009
Merging Data ,[object Object]
Usage Data combined with Article Data July 2009 40 Articles
Usage Data combined with Article Data July 2009 40 Articles
Products ,[object Object]
Clustering ,[object Object],[object Object],[object Object]
Clustering
Clustering
Conclusion ,[object Object]
Questions? [email_address] @derekg http://open.nytimes.com/

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Hw09 Counting And Clustering And Other Data Tricks

Editor's Notes

  1. The ability to compute across large data is a key to success. Accumulating data is easy. Computing is hard Personify, Omniture, Webtrends - specialized not general computing tools.
  2. Fixed reports are great and we can do that but the really interesting part is asking questions after the fact in an adhoc exploratory manner.
  3. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  4. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  5. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  6. Distribution of page views per users for the July 2009. Most users view 1 Page. Not new but shows we have some mastery over the data.This is based of just user data - 380G of compressed data covering over 700million page views.
  7. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  8. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  9. mapping, collbrative filtering, segementation,
  10. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  11. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  12. We have always had data. Collecting data is not a issue for us. We are okay at that part.