A Deep Dive Into File Compression: How Data Gets Smaller, Why Codecs Differ, and What to Actually Use in the Lakehouse
Somewhere in your data platform right now, a single configuration property is quietly deciding a meaningful percentage of your storage bill, your query latency, and your compute spend. It is probably set to whatever the defaults were in 2019, nobody has looked at it since, and it is the compression codec. Compression is the most consequential invisible decision in data infrastructure. Every Parquet file in your lakehouse, every message crossing your network, every backup in your archive passed t
