- Run
docker compose up -d
to stand up the Temporal suite of services as well as two postgres databases that will be used as our "prod" and "stage" data sources. - See the data gen readme for info on how to run this demo.
- See the ml data gen readme for info on how to run this demo.
This demo will generate 100 rows of random data and insert it into a public.users
table in a postgres database.
This second demo will take the data we created in the first demo and train a machine learning model on it. From there, we can sample that model to generate new data that is statistically consistent with the source input.