checklist

DE//AGENT currently lists 12 resources under checklist: 12 tutorials. Everything below is derived from the live registry — counts, capabilities, verification state and security posture come from the curated records, never from marketing copy.

Documented learning objectives across these resources:

• Run a batch pipeline end to end with offline tests — via Capstone — the batch pipeline checklist
• Prove idempotency with a two-run row-count check — via Capstone — the batch pipeline checklist
• Ship the completeness, hardening, and baseline guards — via Capstone — the batch pipeline checklist
• Run the full four-step review pass end to end — via Capstone — the checklist that decides whether a DAG ships
• Confirm every checklist item on your own pipeline — via Capstone — the checklist that decides whether a DAG ships
• Leave behind a runbook so the next backfill is routine — via Capstone — the checklist that decides whether a DAG ships
• Run the full cloud guardrail checklist on your own platform — via Capstone — the cloud guardrail checklist
• Turn each series lesson into a standing check with an owner — via Capstone — the cloud guardrail checklist

28 more objectives live on the individual resource pages.

These resources map to stages: Data Processing (1), Orchestration (1), Cloud (1), Foundations (1), Reliability (1), Python + SQL (1), Lakehouse (1), Warehousing (1), Data Quality (1), Observability (1), Agentic Data Engineering (1), System Design (1). Follow the four-phase roadmap to place this topic inside a progression instead of learning it in isolation.

Every entry, its shape and its trust state — sorted by the registry's composite score. This table is the honest version of a marketing comparison: no sponsored placements, no unverifiable claims.

How scores are computed: source quality score.

Highest composite score first:

1. Capstone — the batch pipeline checklist score 34.15 — intermediate
2. Capstone — the checklist that decides whether a DAG ships score 34.15 — intermediate
3. Capstone — the cloud guardrail checklist score 34.15 — intermediate

Scores rank provenance, completeness and trust — read how verification works before adopting anything.

Reach for these with production experience: Capstone — the guarded agent checklist, Capstone checklist — a design is done when these all hold.

• Capstone — the batch pipeline checklist — Bring the API → S3 → Spark → Parquet starter up end to end, then audit it: offline transform tests, idempotent partition-scoped writes, complete partitions, replay-safe extraction,… details
• Capstone — the checklist that decides whether a DAG ships — Close the series by running the full review pass over your own pipeline: the idempotency test per task, partitioned or MERGE writes, deliberate catchup, backoff retries, reschedule… details
• Capstone — the cloud guardrail checklist — Close the series by turning nine lessons into one standing checklist: workgroup bytes limits and compaction on storage, sized workers and stable bookmarks on compute, resource moni… details
• Capstone — the foundations checklist — Ten lessons compress into one checklist — place every decision on the lifecycle, lay out analytics files with row groups and statistics, expect Arrow at the boundaries, evolve even… details

Adjacent topics: tutorial (12 shared), capstone (12 shared), production (5 shared), review (2 shared).

Study path: the roadmap places this topic in a progression · the scoring model explains the numbers · the trust rule catalog shows every security check these entries passed through.