How Scale Kills Data Teams - by Chad Sanderson
dataproducts.substack.com · 2,998 words · saved by 1 readers
And Why the Modern Data Stack Isn't Enough To Save Them
Note from Chad: 👋 Hi folks, thanks for reading my newsletter! My name is Chad Sanderson, and I write about data products, data contracts, data modeling, and the future of data engineering and data architecture. Today we’re tackling a big problem (literally): Scale. This article is a long one, so strap in. As always, I‘d love a follow and share if you find it valuable. A few months ago I was talking to the Head of Data at a well-known Fintech. At some point, the conversation moved to how many modern businesses are taking the wrong approach to AI. The Head of Data exasperatedly threw up…
related reading
- What I Learned From The Modern Data Stack Conference 2021 - James Lejameskle.com
- Building a data team at a mid-stage startup: a short story · Erik Bernhardssonerikbern.com
- How the Community Turned Into a SaaS Commercialluminousmen.com
- Big Data is Deadmotherduck.com
- AI is removing the middle class of software engineeringblog.florianherrengt.com
- State of Data (Jan 2026)seancai.com
- A Stargate for Data - by willdepue - Will DePuewilldepue.substack.com
- Scaling is subtler than it seemsberen.io
- Dario Amodei — "We are near the end of the exponential"dwarkesh.com
- The Great Data Integration Schlep — LessWronglesswrong.com
- Why are Machine Learning Projects so Hard to Manage? | by Lukas Biewald | Mediummedium.com
- How data observability fits into the different stages in the data pipeline | by Mikkel Dengsøe | Mediummedium.com