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Future of data


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The Future of Data : Making connections so your users don’t have to.

Presented Feb 2013 at Hack+Startup.

Published in: Technology
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Future of data

  1. 1. The Future of Data In 10 minutes
  2. 2. Google 2000Google Inc
Today announced it hasreleased the largest search engine on theInternet. 

Google’s new index, comprisingmore than 1 billion URLs
  3. 3. Google 2008Our indexing system for processing linksindicates that we now count 1 trillion uniqueURLs 

(and the number of individual webpages out there is growing by several billionpages per day).
  4. 4. Data Growth 1,0001000750 500500 250250 120 55 4 10 24 1 0 2000 2001 2002 2003 2004 2005 2006 2007 2008
  5. 5. What are we doing with all this data?
  6. 6. A brief history of data incomplete and mostly inaccurate
  7. 7. Relational databases became a crutch
  8. 8. Memcache, a scooter
  9. 9. Limited by our tools…
  10. 10. Shiny Raw Data
  11. 11. Around 2007The crutches began to snap – Social graph emergence – Substantial data growth – Flexible & rich data structures needed – Open source tools emerged – No longer just Google & Amazon
  12. 12. MongoDB, Hadoop, etc.An empowering exoskeleton
  13. 13. Products built with these new data tools largelyresembled earlier products
  14. 14. The crutch was gone but we acted like it was still there
  15. 15. The data tools today are vastly more powerful Tools built to make sense of our data
  16. 16. Your data is telling you things Are you listening?
  17. 17. We need to do more than reportWe need products that…informeducatereveal
  18. 18. Google analyticsWhat if it provided actual intelligence, like…Steve,Your website currently has higher than usual traffic.Most of the visitors are coming from a blog post onLifehacker which links to your Vim page. Theres quite aconversation happening there so you may want toparticipate. Additionally the conversation seems to havespilled over onto Twitter.
  19. 19. Google analyticsOf the people that go to 4% visited DataStax20% visited Amazon Web Services10% searched for cloud hosting…
  20. 20. Its about making connections … so your users don’t have to
  21. 21. City of Chicago
  22. 22. Goals• Bring all the data all in one place• Make it available in realtime• Find relationships in the data
  23. 23. Modern tools like Redis Hadoop MongoDB Storm / SparkR / Ruby / Python / Go empower you
  24. 24. What are you going to do with your data?
  25. 25. Questions @spf13