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.

1. Data Modeling

2. Event Model

3. Event Model
Impression

4. Event Model
Impression
Heartbeat (0%)

5. Event Model
Impression
Heartbeat (0%)
Interaction

6. Event Model
Impression
Heartbeat (0%)
Interaction
Heartbeat (25%)

7. Event Model
Impression
Heartbeat (0%)
Interaction
Heartbeat (25%)
Ad Unit

8. Event Model
Impression
Heartbeat (0%)
Interaction
Heartbeat (25%)
Ad Unit
App

9. Event Model
Impression
Heartbeat (0%)
Interaction
Heartbeat (25%)
Ad Unit
App App

10. Optimising Redshift

11. Data Processing
Data validation

12. Data Processing
Data validation

13. Data Processing
Data validation Dimension widening

14. Data Processing
Data validation Dimension widening

15. Data Processing
Data validation Data modelingDimension widening

16. Data Processing
Data validation Data modelingDimension widening
Data is immutable
and un-opinionated
Data is mutable
and opinionated