I'd say at current state this cool language has a concise syntax, so it would just be a Pandas alternative for Data Science jobs, but easier to understand. I really look forwards to its updates & more applicable fields (in DE perhaps)
I'd argue it has at least one major advantage over Pandas, and that's pushing number crunching to the database instead of running locally, meaning you can work with datasets way larger than memory on your machine.
Truly amazing talk!
This is really cool! How does this impact Looker? Will Malloy get repo functionality like Dataform? Nice work!
really cool, like EdgeQL but for analytical queries
I'd say at current state this cool language has a concise syntax, so it would just be a Pandas alternative for Data Science jobs, but easier to understand. I really look forwards to its updates & more applicable fields (in DE perhaps)
I'd argue it has at least one major advantage over Pandas, and that's pushing number crunching to the database instead of running locally, meaning you can work with datasets way larger than memory on your machine.
@@JensL56 I find Malloy easier to use than Pandas
Impressive!
This is very cool.