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14 registry resources · 14 references · roadmap: Orchestration, Foundations, Lakehouse, Streaming, Data Processing, Observability, Python + SQL

What this topic covers

DE//AGENT currently lists 14 resources under official: 14 references. Everything below is derived from the live registry — counts, capabilities, verification state and security posture come from the curated records, never from marketing copy.

What you can learn here

Learning objectives are not yet documented for these records — curation adds them evidence-first. What the entries cover today, from their own summaries:

  • Airflow's documentation — DAG authoring, scheduling semantics and timetables, backfills and catchup, task state and retries, dynamic task mapping, and best practices. The scheduling and best-practices pages answer the idempotency and backfill questions our orchestration skills only sketch; read them before designing any recurring pipeline. Apache Airflow Documentation
  • Official Arrow docs: the columnar in-memory format, its language bindings, IPC and Flight protocols, and zero-copy interchange between systems. Use it for exact memory-layout and type-system semantics behind every "columnar" claim in the registry. Apache Arrow Documentation
  • Iceberg's specification and documentation — the table format, snapshots and manifests, hidden partitioning, schema and partition evolution, and maintenance procedures like compaction and snapshot expiry. The table format is a specification, so the spec is the ground truth when engines disagree; essential reading for multi-engine shops where Spark, Trino, and warehouses share tables. Apache Iceberg Documentation
  • Kafka's official documentation — architecture and design, delivery semantics, the protocol, consumer groups and offsets, operations, and security. The design section explains why ordering and partitions behave the way they do; the operations section companions our lag-triage skill and consumer-lag runbook when a group falls behind. Apache Kafka Documentation
  • The Parquet file format documentation: page structure, encodings, compression codecs, statistics and the predicate-pushdown behavior that columnar readers rely on. The ground truth for why columnar files scan less data and how row-group pruning works. Apache Parquet Format Documentation

Where this fits in the learning roadmap

These resources map to stages: Orchestration (1), Foundations (3), Lakehouse (2), Streaming (2), Data Processing (2), Observability (3), Python + SQL (1). Follow the four-phase roadmap to place this topic inside a progression instead of learning it in isolation.

Compare the registry's options

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.

ResourceTypeDifficultyVerificationScore
Apache Airflow DocumentationReference—community27.7
Apache Arrow DocumentationReference—community27.7
Apache Iceberg DocumentationReference—community27.7
Apache Kafka DocumentationReference—community27.7
Apache Parquet Format DocumentationReference—community27.7
Apache Spark DocumentationReference—community27.7
Delta Lake DocumentationReference—community27.7
Grafana DocumentationReference—community27.7
OpenTelemetry DocumentationReference—community27.7
PostgreSQL Documentation — Tutorial & ReferenceReference—community27.7
Prometheus DocumentationReference—community27.7
Python Official DocumentationReference—community27.7

2 more in the full list below.

How scores are computed: source quality score.

Where to start

Highest composite score first:

  1. Apache Airflow Documentation score 27.7 — difficulty not documented
  2. Apache Arrow Documentation score 27.7 — difficulty not documented
  3. Apache Iceberg Documentation score 27.7 — difficulty not documented

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

Production use cases

  • Apache Airflow Documentation — Airflow's documentation — DAG authoring, scheduling semantics and timetables, backfills and catchup, task state and retries, dynamic task mapping, and best practices. The schedulin… details
  • Apache Arrow Documentation — Official Arrow docs: the columnar in-memory format, its language bindings, IPC and Flight protocols, and zero-copy interchange between systems. Use it for exact memory-layout and t… details
  • Apache Iceberg Documentation — Iceberg's specification and documentation — the table format, snapshots and manifests, hidden partitioning, schema and partition evolution, and maintenance procedures like compacti… details
  • Apache Kafka Documentation — Kafka's official documentation — architecture and design, delivery semantics, the protocol, consumer groups and offsets, operations, and security. The design section explains why o… details

Further study

Adjacent topics: docs (13 shared), lakehouse (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.

Full resource list

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