The Art of Data Team Workflows

More than ever, building a data architecture is becoming less about writing actual code.

Instead, it's more about the systems you have for managing it all.

And while there are always new tools (and of course AI systems) that can help speed up your development...

It can also become a slippery slope if you don't have good frameworks in place to guide you along the way.

So in today's video, we're going to get back to the basics a bit.

And talk about what looks like to follow a clear, reliable development workflow as a data team.

Things such as:

- How to avoid deploying right to production

- How to isolate each developer's work and avoid conflicts

- How to glue it all together with some simple automations.

By the end you'll have a clear picture on what a clean data workflow can look like.

And gain some ideas for how to improve your own process.

Enjoy!