Streamlining Membership Data Engineering at Netflix with Psyberg

This post introduces Psyberg, an incremental data processing framework that leverages Iceberg metadata (snapshots and partitions) to manage batch data processing, specifically addressing challenges with late-arriving data. Psyberg automates data loads, detects and manages late-arriving data without manual intervention, and integrates into data pipelining workflows, enhancing efficiency, accuracy, and timeliness. It uses Iceberg's snapshot and partition metadata to track changes and manage workloads, improving upon previous manual intervention strategies for late data.