beginner

DE//AGENT currently lists 18 resources under beginner: 17 tutorials, 1 reference. 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:

• Write all six parts of a contract for a real dataset — via Author your first data contract
• Specify freshness and completeness numbers in the SLA — via Author your first data contract
• Name the CI test that fails when the contract is violated — via Author your first data contract
• Configure a pre-commit check over staged schema files — via Enforce contracts in CI with the schema change check
• State what lets a breaking change pass — MIGRATION.md or a deprecated_at annotation — via Enforce contracts in CI with the schema change check
• Explain why the gate belongs in the producer's CI, not the consumer's runtime — via Enforce contracts in CI with the schema change check
• Inspect a database with list_tables and describe_table before writing SQL — via First hands-on — a correct SELECT with a justified join
• Write a SELECT with a join whose cardinality is stated and justified — via First hands-on — a correct SELECT with a justified join

41 more objectives live on the individual resource pages.

These resources map to stages: Data Quality (3), Python + SQL (6), Orchestration (3), Warehousing (3), Reliability (1), Lakehouse (1), Agentic Data Engineering (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.

6 more in the full list below.

How scores are computed: source quality score.

Highest composite score first:

1. Author your first data contract score 34.15 — beginner
2. Enforce contracts in CI with the schema change check score 34.15 — beginner
3. First hands-on — a correct SELECT with a justified join score 34.15 — beginner

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

Start here if you're new: Author your first data contract, Enforce contracts in CI with the schema change check, First hands-on — a correct SELECT with a justified join, Fix SQL lint with the SQLFluff core rule pack.

• Author your first data contract — Draft an enforceable contract for one real dataset by walking the six parts — owner, schema, semantics, SLA, breaking-change policy, enforcement — starting from the data-contract t… details
• Enforce contracts in CI with the schema change check — Install the Schema Change Check as a pre-commit gate over staged schema files so a breaking change exits non-zero unless a migration plan or deprecation annotation rides along with… details
• First hands-on — a correct SELECT with a justified join — Stand up a local DuckDB through the DuckDB MCP server, inspect before you query with list_tables and describe_table, and write one SELECT with a join whose cardinality you can just… details
• Fix SQL lint with the SQLFluff core rule pack — Install the SQLFluff core rule pack, point it at your warehouse dialect, and lint a fixture that fails on purpose: indentation, keyword capitalisation, SELECT star, and unused CTEs… details

Adjacent topics: tutorial (17 shared), mental-model (7 shared), review (3 shared), ci (3 shared), data-quality (2 shared), testing (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.