Data Steward course

This course is for the person who lives closest to the quality of data in CluedIn. The goal is not to turn a steward into a platform administrator. The goal is to build a confident operator who can move through the instance, recognize what good and bad data looks like, trace where issues came from, choose the correct remediation path, and work productively with Data Architects.

The narrative of this course follows the same progression as the stronger “Getting started” guides in the documentation: data enters the platform, gets mapped and processed, becomes searchable, is investigated, improved, governed, and handed off for downstream use.

Course outcomes

By the end of this course, a learner should be able to:

  • explain how source records become golden records
  • move confidently through Ingestion, Search, record pages, Clean, Deduplication, Glossary, Governance, and AI-assisted remediation surfaces
  • use search, filters, saved searches, and record inspection to isolate operational data issues
  • understand when to use validations, clean projects, deduplication, tags, glossary terms, or AI jobs
  • document findings well enough for a Data Architect to improve mappings, identifiers, rules, or streams

This course fits Data Stewards, data quality analysts, master data operators, and business users who routinely investigate problematic records.

Suggested duration

  • Guided first pass: 2 to 3 half-days
  • Practice and repetition: 1 to 2 weeks of real operational usage

Module sequence

  1. Course purpose, setup, and operating model
  2. First tour of the instance and the golden record mindset
  3. How ingestion, mapping, and processing affect stewardship
  4. Find and inspect records with search, filters, and saved searches
  5. Review source quality with validations and mapping checkpoints
  6. Clean recurring quality issues with clean projects
  7. Resolve duplicates and understand merge decisions
  8. Use glossary, tags, and governance views to organize work
  9. Use AI agents safely for stewardship work
  10. Understand streams, downstream impact, and architect handoffs
  11. Capstone operating loop and readiness checklist

What this course is not

This course does not try to make the steward the owner of modeling, release management, or deep connector design. Those are covered in the Data Architect path. But the steward still needs enough architectural literacy to recognize when an issue is operational and when it is structural.

Table of contents