PRQL: a modern language for transforming data

PRQL is a modern language for transforming data, and a simple, powerful, pipelined SQL replacement. This talk will introduce PRQL to your community of software engineers, showcasing how it makes it easier to work with your data. PRQL transpiles to SQL so you can use it wherever you currently use SQL, including relational databases such as PostgreSQL, MariaDB, SQL Server, SQLite; modern data warehouses such as BigQuery and Redshift; and even DataFrame libraries like Pandas and Polars. PRQL has many integrations, including JavaScript, Python, R, CLI, etc. that make it easy to start using PRQL right away.
This talk will demonstrate some of these use cases with interactive examples that you can try for yourself afterwards. PRQL is completely open source (Apache 2.0 licensed), volunteer driven, and committed to staying that way forever to vendor lock-in and remain free to use for everyone. To learn more about PRQL, go to our website(prql-lang.org/), GitHub Repo (github.com/prql/prql), or try it out in our online playground (prql-lang.org/playground/).