Viewing profile — akartasov

It's also a great tool. However, as far as I know, Testcontainers just manages container-based dependencies but doesn't prepare the data in any way.

There are several ways to process PII for use in the Database Lab, including masking and data obfuscation. The main approaches can be found here: https://postgres.ai/docs/database-…

Absolutely agreed. In addition, I know some Data Scientists who use thin clones from Database Lab to get data at a specific time for their models

There are several public Case Studies of real users (from small teams to quite large companies): https://postgres.ai/resources/ For more real-life feedback, welcome to the Database…

I agree that this is a possible way. The main difficulty of the generated data is related to their quality and structure. Namely, how artificial data correspond (quantitatively and…

You are absolutely right. Depending on the current environment, you should think about the protection of sensitive data (for example, data masking and obfuscation, access control).…

I think it will work well for verifying DB changes and optimizing SQL on real data. This seems like a great tool to eliminate the risk of database-related downtime.

Joe, a chatops bot that allows troubleshooting optimizing SQL performance using fast thin clones of full-size databases (cloning of 10 TiB takes only a couple of seconds), updated …

I've just tried the live demo in the Database Lab Community Slack. It looks amazing! Keep it up!