Standard

Data Engineering

Drop-in kit for developers building AI/RAG/agent apps on data engineering (ETL/ELT pipelines, streaming, data lakes, orchestration): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.

Who it is for and what problem it solves

Data. For people who design databases, data pipelines and analytical models.

Offers definitions, rules and check questions on SQL and data engineering, to build query assistants and data quality checks.

Topics covered

  • ETL/ELT pipelines
  • streaming
  • data lakes
  • orchestration

What it contains, in numbers

Free part: over 13,200 words across the glossary, terminology, FAQ, best practices, sources and changelog, plus 14 Domain Knowledge Base documents.

Premium kit: 62 evaluation questions with sources, 62 corpus passages, 40 labeled examples and 13 files in total, covering prompts, data model, use cases and business processes.

Don't know where to start? Begin with the free artifacts: they are released under a CC BY 4.0 license, so you can reuse them by citing the author.

Free content

Terminology

Synonyms, abbreviations and IT/EN translations to normalise the language your users use.

Read full artefact

Best practices

The established practices of the domain, with the reason they work.

Read full artefact

Knowledge Domain Database

Explore the Domain-Driven Design (DDD) structure of the domain: entities, business rules, workflows, events, roles, and state machines.

Explore Domain Knowledge Base