About the Session
This talk will introduce you to PRQL, a powerful data transformation language designed specifically for data analysts and engineers. PRQL combines the elegance of relational algebra with the usability of popular libraries like Pandas, Polars, and dplyr, offering a functional, pipelined query paradigm with modern ergonomics and expressivity.
Beyond seamlessly transpiling into SQL, PRQL also supports multiple SQL dialects. This ensures compatibility with any relational database and data warehouse and allows you to leverage your existing data infrastructure.
The talk will highlight PRQL’s expressivity with complex analytical queries, demonstrated through interactive examples in Python.
