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Modeling event data

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Presentation given by Christophe Bogaert at the inaugural Snowplow Meetup New York in March 2016. Christophe described the event data modeling process at a high level before diving into specific tools and techniques for developing performant models.

Published in: Data & Analytics
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Modeling event data

  1. 1. Data Modeling
  2. 2. Event Model
  3. 3. Event Model Impression
  4. 4. Event Model Impression Heartbeat (0%)
  5. 5. Event Model Impression Heartbeat (0%) Interaction
  6. 6. Event Model Impression Heartbeat (0%) Interaction Heartbeat (25%)
  7. 7. Event Model Impression Heartbeat (0%) Interaction Heartbeat (25%) Ad Unit
  8. 8. Event Model Impression Heartbeat (0%) Interaction Heartbeat (25%) Ad Unit App
  9. 9. Event Model Impression Heartbeat (0%) Interaction Heartbeat (25%) Ad Unit App App
  10. 10. Optimising Redshift
  11. 11. Data Processing Data validation
  12. 12. Data Processing Data validation
  13. 13. Data Processing Data validation Dimension widening
  14. 14. Data Processing Data validation Dimension widening
  15. 15. Data Processing Data validation Data modelingDimension widening
  16. 16. Data Processing Data validation Data modelingDimension widening Data is immutable and un-opinionated Data is mutable and opinionated

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