Data Architect course
This course is for the person shaping how CluedIn behaves, not just what it displays. The Data Architect defines the semantic model, mapping quality, identifiers, relations, rules, automation surfaces, and downstream contracts that make stewardship effective at scale.
The structure deliberately mirrors the stronger “Getting started” and reference sections in the documentation, but it expands them into a curriculum. Instead of treating each page as a standalone feature article, this course connects them into one architectural journey through the instance.
Course outcomes
By the end of this course, a learner should be able to:
- design a clean business-domain and vocabulary model
- review mappings and identifiers with an eye toward merge quality and survivorship behavior
- create relations, hierarchies, and rules that behave predictably in production
- understand when to use clean projects, enrichers, AI agents, glossary, tag monitoring, and streams
- promote changes through environments with discipline and explain the expected downstream impact
Recommended audience
This course fits Data Architects, solution architects, platform owners, implementation consultants, and advanced administrators.
Suggested duration
- Guided first pass: 3 to 4 half-days
- Hands-on design and validation: 2 to 3 weeks across a real implementation cycle
Module sequence
- Course purpose, environments, and architecture responsibilities
- Platform model: business domains, vocabularies, and golden records
- Ingestion design and mapping strategy
- Identifiers, review mapping, and relation design
- Search, record anatomy, history, and diagnostic workflows
- Rules, clean projects, and processing logic
- Deduplication, glossary, and stewardship enablement
- Enrichers, AI agents, and automation design
- Governance patterns with tags, vocabulary, and quality signals
- Streams, export targets, and downstream contracts
- Release discipline across dev, test, and production
- Capstone architecture review checklist
What this course is not
This course is not a complete administration manual and it is not a substitute for implementation standards. It is a practical curriculum for learning how the documented CluedIn features fit together into an operating architecture.
Table of contents
- Course overview and setup
- Course purpose, environments, and architecture responsibilities
- Shared foundation and safe environment
- Environment discipline
- Ingestion design and mapping strategy
- Identifiers, review mapping, and relation design
- Review mapping and identifiers
- Search, record anatomy, history, and diagnostic workflows
- Vocabulary and Data Catalog
- Rules, clean projects, and processing logic
- Rules, streams, glossary, and enrichers
- Deduplication, glossary, and stewardship enablement
- Promote from dev to test to production
- Enrichers, AI agents, and automation design
- Governance patterns with tags, vocabulary, and quality signals
- Streams, export targets, and downstream contracts
- Release discipline across dev, test, and production
- Capstone architecture review checklist