26 Oct
|
ThoughtStorm
|
Toronto
26 Oct
ThoughtStorm
Toronto
1. Hands-on conceptual, semantic, logical and physical data modelling.
2. Enterprise, common, canonical and domain data models for interoperability and data sharing.
3. Data architecture principles, standards, methodologies and best practices.
4. Common business definitions, controlled vocabularies, semantic models and business glossaries.
5. Facilitate business/technical workshops to reconcile terminology, entities and relationships.
6. Reference data models, semantic relationship models and domain-driven modelling.
7. ERwin, PowerDesigner, Visio or equivalent CASE tools; metadata, lineage and governance.
8. Nice-to-have: RDF/OWL, knowledge graphs, Databricks, Neo4j, Denodo; public-sector/regulatory experience.
📌 Senior Data Architect/Modeller – Common & Canonical Data Models (Toronto)
🏢 ThoughtStorm
📍 Toronto