Flight of Insights: Navigating Data Turbulence with SQL Modelling and Visualisation
summary
Uses pilot‑flown simulations and virtual‑reality recreations to show that when human reaction time is modelled, every alternate landing option fails and Hudson ditching is justified; claims that robust SQL modelling plus correct joins and keys would have avoided faulty assumptions; cites 34 recommendations from the investigation as concrete changes; demonstrates how predictive modelling, RAID logs and tools like Power BI turn messy inputs into visuals that actually change the decision and vindicate the outcome.
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chapters (9)
- 0:00Introduction
- 1:53Sully’s Miracle on the Hudson
- 4:22Assumptions in data modeling
- 6:52Robust data models
- 7:14Real-time decision-making
- 10:24Communicating insights
- 12:30Data for visualization
- 13:54Unthinkable in data modeling
- 15:42Conclusion and key takeaways from Sully’s journey
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