Review batch processing implementations for checkpoint/resume capability, partial failure handling, memory efficiency, and throughput optimization.
## CONTEXT Batch processing failures are among the most costly in software — a failed 8-hour ETL job that must restart from scratch wastes both compute resources and time. Data engineering teams report that 30% of batch job runtime is wasted on reprocessing already-completed work due to lack of checkpointing (Airbyte…
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