DBTB INT Daniel Doerr r
summary
Manager-level data work at Credit Karma argues big data is a wild west of on-the-job learning and bootcamps, recommends Kaggle competitions as the best free way to get competent, and predicts big data drives almost every interaction in 5–10 years. Urges teams to build concrete metrics that capture user benefit and to incorporate audience feedback into models. Claims practical, community-driven learning outperforms theory until engineering scale and governance become necessary.
AI-written summary · about
related talks
48mBecoming a Data Head, a reflection on the trade offs and decision
41mData engineering without walls
26mData For The 99%: Unlocking Data Curiosity Across Your Organisation
34mPast The Hype: A Better Way To Think About Big Data
36mKeynote: Data, Decision Making, and Being Human
11mBig Data Moonshots and Ground Control
25mMaking everyone Data Awesome
40mBridging bytes and behavior with Data Science and UX Research
