Building Reproducible ML Systems with Apache Iceberg and SparkSQL

Apache Iceberg + SparkSQL brings ACID transactions, schema evolution, and time travel to data lakes. That means ML pipelines finally get reproducibility and consistency without the hacks. Iceberg’s snapshot-based guts track every version, handle parallel writes without stepping on toes, and keep training and inference in sync—especially when wired into feature stores and experiment tracking.