[mrtimo]

This is a great lineup. Excited for the "SQL replacement" talks. Malloy is currently my favorite because of it's semantic nature. Define all the joins, measures, dimensions up in the source, and use them as needed. Makes for easy writing, and cleaner thinking.

Also, Malloy has done something clever. They embed duckdb into their VSCode extension, so you can easily query (and join) .csv or .parquet files on the fly. I laugh when I think of all the time I spent noodling with pandas code to do simple data cleaning, analysis, or joining. This also means that you can press "." on any github repo and start querying.

I teach MS Business Analytics students - they really enjoyed walking through an analysis of first names given in the USA for the past century. To see it, click to the github repo [1], press ".", install the Malloy extension, click back to the names1.malloynb file and run the queries.

[1]: https://github.com/malloydata/malloy-samples/blob/main/names...