Four weeks complete. Config validation that returns every error, checkpoint logs that survive JSON, resume logic that skips completed work, a capstone that composes it all. How does your pipeline code feel different from Week 1?
I think in terms of what happens when things go wrong. Week 1 was 'make it work'. Week 4 is 'make it recover'.
That shift is the whole point of the track. The quiz tests the specifics — why lists instead of tuples, why set membership for resume, why one list call instead of N.
The capstone question — what should I focus on?
Think about which operations are expensive and which are cheap. The pipeline's shape is driven by that cost.
Five functions composing into production pipelines:
validate_pipeline_config — returns all missing keys at oncecheckpoint_steps — [name, ok] pairs; JSON-saferesume_from_checkpoint — set-membership filter of remaining worksafe_bulk_create_with_checkpoint — retry + checkpoint per itemrun_full_pipeline — validate, fetch, load-existing-as-set, loop, record, reportCore idea: compose patterns. Validation + idempotency + checkpointing + resume = a pipeline you can trust to re-run.
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Four weeks complete. Config validation that returns every error, checkpoint logs that survive JSON, resume logic that skips completed work, a capstone that composes it all. How does your pipeline code feel different from Week 1?
I think in terms of what happens when things go wrong. Week 1 was 'make it work'. Week 4 is 'make it recover'.
That shift is the whole point of the track. The quiz tests the specifics — why lists instead of tuples, why set membership for resume, why one list call instead of N.
The capstone question — what should I focus on?
Think about which operations are expensive and which are cheap. The pipeline's shape is driven by that cost.
Five functions composing into production pipelines:
validate_pipeline_config — returns all missing keys at oncecheckpoint_steps — [name, ok] pairs; JSON-saferesume_from_checkpoint — set-membership filter of remaining worksafe_bulk_create_with_checkpoint — retry + checkpoint per itemrun_full_pipeline — validate, fetch, load-existing-as-set, loop, record, reportCore idea: compose patterns. Validation + idempotency + checkpointing + resume = a pipeline you can trust to re-run.