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