How does Scala enable data lineage tracking in large data systems?

Scala enables data lineage by tracking transformations across immutable pipelines in systems like Spark.

Data lineage in Scala-based systems is often implemented via Spark's DAG (Directed Acyclic Graph) execution model. Each transformation is lazily evaluated and recorded as part of the lineage graph. This allows recomputation of lost partitions and provides auditability. In streaming systems, Kafka offsets and event logs extend lineage tracking across time. Functional purity ensures transformations are deterministic, making lineage reconstruction reliable.