[benn0]

Fascinating. Have you written any more on this? I’ve started using timescale and am keen to push as much as possible into the database, and currently the approach to ML requires us to extract huge amounts from the DB and is a significant bottleneck.

[tucnak]

Not really, we've applied PostgresML in the charity space (we're the first data-driven charity in Ukraine) and we have been using Timescale for other things, however we haven't yet figured out how to connect all the dots. I'm going to talk to Timescale's technical team as well as PostgresML people on this subject next week. Hopefully, we can build some understanding as to how much this can be pushed as the use-case is simply too attractive to let pass; at least whenever you have the luxury to engineer the data flow bottom-up... If you're interested, we can stay in touch, or do a group/mailing list to explore this further. I have a feeling that we're sitting on a proverbial gold deposit here, in data integration terms :-)

[benn0]

Strongly agree, there is a compelling collection of technologies there, and I'd be very keen to keep in touch. I'm hoping to spend December working on how these could fit together for a very different use case (I'm in a research institution in Australia looking at energy and renewables). My email is ben dot weise at gmail dot com, feel free to hit me up :).