PROTOTYPE ON A LAPTOP, SCALE TO 16 BILLION ROWS: ONE POLARS QUERY

Summary from the TLDR Data newsletter

Polars lets teams develop ETL pipelines locally on a representative data sample, then run the exact same LazyFrame queries across 16 billion rows in the cloud without rewriting the logic. The pipeline pre-aggregates raw Polymarket data into small Parquet artifacts in S3, allowing a Plotly Dash dashboard to remain fast without scanning the full dataset on each request.