Digital Twin Data Architecture

About this course

Design a trustworthy digital-twin data layer. Connect ingestion, streaming, time-series storage, asset identity, semantics and versioning with measurable data quality, open interfaces and access control.

This professional course is part of the Smart Cities, Digital Twins & Urban Systems school. Delivery: Cohort-Based / Instructor-Led. Estimated study time: 30 h.

Course curriculum

• Module 1 — Reference Architectures for Twins
• Module 2 — Ingestion and Streaming
• Module 3 — Time-Series Storage and Query
• Module 4 — Semantic Models and Ontologies
• Module 5 — Identity and the Asset Register
• Module 6 — Geometry, Time and Versions
• Module 7 — Synchronisation, Latency and Twin Error
• Module 8 — Data Quality, Lineage and Trust
• Module 9 — APIs and Open Standards
• Module 10 — Security and Access Control

Applied learning

• Case Study — The Twin That Knew Three Different Pumps Called P7
• Lab 1 — The Hilltop Data Layer with a Semantic Model
• Lab 2 — Synchronisation Lag and Duplicates in a Live Stream
• Lab 3 — An Architecture Decision Record for Storage and Semantics
• Capstone — A Data Architecture for an Operational Twin

Who this course is for

Engineer / Architect; Government Professional

Prerequisites

NE-DT-203

Course details

• Course code: NE-DT-401
• Level: Professional
• Estimated duration: 30 h
• Delivery: Cohort-Based / Instructor-Led

Includes online course lessons and practice activities. Course scenarios use simulated data. Course materials are in pilot review.