A multi-modal comparison of Payroll-Based Journal (PBJ) data processing across research, local, and enterprise-distributed environments.
Zero-setup prototyping using SQLite In-Memory logic.
Vectorized Pandas execution on Driver nodes for mid-market scale.
Distributed PySpark SQL for Big Data production reliability.
Decision Insight: For datasets < 2GB, Method 2 (Pandas on Driver) outperforms Spark by eliminating distributed shuffle overhead.