We're livestreaming a GitLab Group Conversation on Meltano:

Great conversations, thank you! Sid hopped in with the ML side, super interesting. Finding how to apply ML to data transformations is interesting. My gut from working in data integration for years is point to point integrations are the best place to start with that as they are "easy" transformations, because you more or less have the Data already available to you (Which is one of the biggest ML challenges today). Source System (E) ( -> T) Target Data (L) With two systems that already exist and have people manually adding to each. 🤷 my brain won't stop spinning on that idea but it's hard to justify putting time into for myself

Really interested in the Singer Hub. Will be nice to easily find taps/targets and quickly see the activity on them.