Last month, I had a to find resources. What I got is a lovely architecture diagram and a using the keyword Clean. The only thing that popped up is Service Cloud Voice Series: Cleaning up your environment.
I can try ClickOps on the console without a tutorial and figure it out myself. But I still need some good data to play with.
I tried searching on . And more importantly, their data is in the public domain, meaning I can freely use it in my lab. I picked the Airline Loyalty Program data in my lab.
IaC everything
Another intimidating thing about AWS Clean Rooms is that we must jump between AWS accounts to finish the setup. It doesn't just make ClickOps complicated, but also IaC.
I usually use CloudFormation when working on public AWS projects because it's native to AWS. But this time, I'm mixing CloudFormation with Terraform because of its easy-to-setup multi-account deployment. I hope AWS can learn from Hashicorp in this aspect and make it easier to deploy stuff remotely.
Here's the link
After talking so much, here's the link to my still-in-progress AWS Clean Rooms Lab: https://github.com/richardfan1126/aws-clean-rooms-lab
This lab is not completed yet. But it has 2 sessions already, which you can go through, start playing, and get meaningful results.
What's more exciting is that if you just want to play with the analysis rules and queries and don't want to deal with all the infrastructure hustle, you can simply run a few commands, and everything will be set for you.
I will continue creating more sessions on more complex analysis rules. And more interestingly, the differential privacy part.
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