Thank you for an excellent talk on datalog. It's such an interesting piece of technology, but it's hard to find good tutorials apart from the official Datomic stuff.
@@sublimemmNoLink That one is great and I love that it's meant to be interactive, but it only really touches on the basics. I feel like what's needed are more tutorials focusing on common database design issues and patterns applying Datalog. A bit like this one.
Not so minor corrections: Datalog is not new technology, originating in the 1980s. Datalog is not based purely on triples. Rather facts and rules are n-tuple relations based on first-order logic where n >= 0. Triples are a convenient value for n if you want to purely model entity/attribute/value.
I'm starting using LogSeq and the queries are written in Datalog, you are the one who made me understanding it. Thank you
Thank you for an excellent talk on datalog. It's such an interesting piece of technology, but it's hard to find good tutorials apart from the official Datomic stuff.
@@sublimemmNoLink That one is great and I love that it's meant to be interactive, but it only really touches on the basics. I feel like what's needed are more tutorials focusing on common database design issues and patterns applying Datalog. A bit like this one.
After ten minutes i thought... Datalog is awesome :D
This whole thing blew me away- Datalog is amazing! Thank you Norbert, wish they didn't cut you off!
I'm sold. Minute 5 :) .
That clojure language suits you very well, RDF.
Thank you very much!!! Great presentation, I’m hooked)
Not so minor corrections:
Datalog is not new technology, originating in the 1980s.
Datalog is not based purely on triples. Rather facts and rules are n-tuple relations based on first-order logic where n >= 0. Triples are a convenient value for n if you want to purely model entity/attribute/value.
So good, thank you.
Relational databases seem like a optimization for very slow 1980s computer storage technology.
I was a little disappointed because I thought this was going to be a talk on Datalog, but it was entirely about Datomic.
You might want to watch this again