Experimenting with data to determine value - migration / methods?

Question

I have a lot of data available to me and you want to capture and experiment with data that is not currently used in production. I do not want to immediately add this to my existing data warehouse, as this will undoubtedly be useless for production. The obvious solution is to create a copy of the production data and integrate it with what I want to play with (applications that access this data, etc.), but I was wondering if there is a better (less expensive?) Way to do this.

Both isolation and integration are important. I would like to be able to store light / experimental data separately from data from a large volume of production, but also be able to seamlessly integrate (RELATIVELY) if the experimental assets are considered useful.

Thank.

Answer 1

I would prefer to start working with a small amount of data first and duplicate the working environment, and then start working on the migration part.

If I succeed in less time, then the same steps will be continued for the rest.