Data Engineering Patterns That Keep You Sane | Data Debug Meetup
Автор: Recce
Загружено: 2026-01-29
Просмотров: 2
Описание:
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/
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