Data Engineering Patterns That Keep You Sane | Data Debug Meetup скачать в хорошем качестве

Data Engineering Patterns That Keep You Sane | Data Debug Meetup

Your DBT pipeline has hundreds of models, inconsistent naming, and someone just asked why two numbers don't match. Sound familiar? Patrick Old (Data Lead @ Fable, previously Pave & LinkedIn) walks through 3 patterns that keep data teams from losing their minds: 1) Medallion architecture — Organize everything into bronze (raw), silver (transformed), and gold (analytics/product) layers so you always know what data to expose and where transformations belong. 2) Naming conventions — Agree on prefixes like stg_, int_, snapshot_ and write them down. No more "final_final_v2_feb2022" tables floating around. 3) Team interaction standards — Define SLAs, data contracts, and communication patterns so downstream teams know what to expect and you're not debugging 45-day-old stale data nobody mentioned. 0:00 Intro 1:15 The complexity problem 2:45 Pattern 1: Medallion architecture (bronze/silver/gold) 4:30 Pattern 2: Naming conventions that stick 7:00 Audience suggestions (the "final_final" problem) 8:45 Pattern 3: Team interaction patterns & SLAs 10:30 How to bring this to your org 11:15 Q&A Recorded at the Jan 2026 Data Debug SF Meetup. — Data Debug SF is a monthly IRL meetup for data practitioners join us: https://www.meetup.com/data-debug-sf/ Proudly sponsored by Recce, your data review agent. Check us out: https://reccehq.com/