Malloy An Experimental Language for Data | Google
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- Опубликовано: 10 май 2023
- ABOUT THE TALK:
Forcing data through a rectangle shapes the way we solve problems (for example, dimensional fact tables, OLAP Cubes).
Most Data isn’t rectangular it rather exists in hierarchies (orders, items, products, users). Most query results are better returned as a hierarchy (category, brand, product).
Malloy is a new experimental data programming language that, among other things, breaks the rectangle paradigm and several other long held misconceptions in the way we analyze data.
In this talk, Lloyd Tabb shares the ideas behind the Malloy language, semantic data modeling, and his vision for the future of data.
ABOUT THE SPEAKER:
Lloyd Tabb spent the last 30 years revolutionizing how the world uses the internet and, by extension, data. He is one of the internet pioneers, having worked at Netscape during the browser wars as the Principal Engineer on Navigator Gold, the first HTML WYSIWYG editor.
Originally a database & languages architect at Borland, Lloyd founded Looker,, which Google acquired in 2019. Lloyd's work at Looker helped define the Modern Data Stack.
At Google, Lloyd continues to pursue his passion for data, and love of programming languages through his current project, Malloy.
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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
Impressive!
This is very cool.
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