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DataEngBytes 2023 - BRI-T1-07 - Joe Reis

on YouTube 27m
Talkat DataEngBytes Brisbane 2023 · on Tuesday, 2023-08-29· [data-engineering, machine-learning]

speaker

name:Joe Reis
links:none on file

resources

video:https://youtu.be/8FIStv1F0uE
slides:none on file

summary

Argues that data modeling is both abandoned and indispensable for AI, citing a real-world symptom of 39,000 DBT models in one company and widespread ad hoc, query-driven schemas. Points to missing conceptual and logical models, overreliance on physical implementations, and tool-heavy but practice-poor teams. Recommends modeling across the data life cycle, using reusable pattern libraries, data contracts and streaming feedback loops so models remain coherent, believable and usable for downstream ML and LLM deployments.

AI-written summary · about

chapters (14)

  1. 0:00Introduction
  2. 1:11Data modeling matters now
  3. 2:59AI’s rise and data chaos
  4. 4:02Defining data modeling
  5. 7:14Data modeling feels dead
  6. 11:25Ignoring modeling consequences
  7. 13:55Hype, tools, and dev-data divide
  8. 16:00Bringing modeling back
  9. 17:45Modeling across lifecycle
  10. 19:30Ending modeling infighting
  11. 20:56Conclusion and future
  12. 21:37Q&A
  13. 22:39Q&A: Vendor myths
  14. 24:45Q&A: Tools vs modeling

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