BigDataDig

https://open.substack.com/pub/datamodernisationjourney/p/037-no-budget-no-insights?r=1tj5ll&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

No Budget, No Insights Why struggling companies can’t build great data teams

It's Not About the Money: Why Your Data Engineers Are Leaving

It's Not About the Money: Why Your Data Engineers Are Leaving It's the daily battle against technical debt and broken tools that drains their motivation.

dbt isn't killing traditional ETL...

It's creating expensive hybrid architectures.

Everyone's rushing to migrate everything to dbt, thinking it's a silver bullet.

- 40% of dbt migrations fail to deliver expected value
- Most successful companies keep 20-30% of legacy ETL
- Complex integrations still need traditional tools

Stop thinking dbt vs ETL. Start thinking dbt + ETL.

The smartest data leaders I know use dbt for SQL transformations and keep traditional ETL for complex integrations.

What's your experience? Are you going all-in on dbt or taking a hybrid approach?

P.S. I break down the exact 70/30 rule and when to use each approach in this week's newsletter 👇

https://blog.bigdatadig.com/p/034-dbt-didnt-kill-etl?r=1tj5ll