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DataEngBytes 2023 - MEL-T1-01 - Joe Reis

on YouTube 26m
Talkat DataEngBytes Melbourne 2023 · on Thursday, 2023-08-31· [data-engineering, machine-learning]

speaker

name:Joe Reis
links:none on file

resources

video:https://youtu.be/yY1hsANkqMo
slides:none on file

summary

Argues that DATA MODELLING IS DEAD! LONG LIVE DATA MODELLING! but actually data modelling is critical for reliable AI, citing concrete problems like reactive query driven work, DBT sprawl (one company with 39,000 models), and the Dev‑to‑data divide that produces messy inputs and LLM hallucinations. Recommends restoring conceptual and logical modelling, using pattern libraries (Data Model Resource Book, Nimble Elephant), modeling across the data life cycle, and adopting a mixed models pragmatic approach so models are believable and useful.

AI-written summary · about

chapters (13)

  1. 0:00Data modeling’s importance
  2. 2:08Why data modeling matters now
  3. 4:14What is a data model
  4. 7:39Is data modeling dead
  5. 9:44Poor modeling symptoms
  6. 13:36Agile’s role in decline
  7. 15:41Ignoring modeling consequences
  8. 17:45Reviving data modeling
  9. 19:10Bringing back conceptual/logical modeling
  10. 21:17Modeling across lifecycle
  11. 23:23Ending modeling wars
  12. 24:48Modernizing modeling techniques
  13. 25:31Conclusion

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