#78: How Data Teams Maintain Production (with high quality)
Feb 05, 2025A critical process for every data team is how they deploy their changes to production.
But if you go a little deeper, the real reason that's so important comes down to confidence.
Not just the confidence for those working on the data team…
But, more importantly, the confidence your stakeholders have to actually use the data you're giving them.
For everybody outside the data team, the analytics development process is often a black box.
So they’re relying on you to have systems in place to ensure quality before it gets to them.
So in today's video, I’m going to share a few subtle tactics you can use to quality check your data & logic before it gets to Production.
My hope is that you'll find one or maybe a few you can introduce into your own process.
Who knows - you might just get an unexpected thank you from a stakeholder.
What You’ll Learn:
- How linters keep your code clean & team happy
- Strategies to avoid deploying straight to production
- Ways to leverage automation & templates on Git Platforms
When you're ready, here are 2 other ways I can help you:
1. Simple Stack Academy: Level-up your data career by learning more than just SQL. Design, build & automate an end-to-end data architecture using modern tools like dbt⢠& Github. (Free 7 Day Preview)
2. Consulting Services: Get personalized support to properly implement a well-structured, scalable, and maintainable data architecture at your company.