Industrial Data, Historians & Protocols

About this course

Build industrial data foundations that analysts and operators can trust. Explore plant protocols, historians, asset models, compression, time-series quality and contextualisation with orders and batches.

This practitioner course is part of the Smart Industry & Industrial IoT school. Delivery: Self-Paced / Instructor-Led. Estimated study time: 16 h.

Course curriculum

• Module 1 — Industrial Data Types
• Module 2 — OPC UA Information Models
• Module 3 — MQTT and Sparkplug
• Module 4 — Modbus and Legacy Protocols
• Module 5 — Historians, Compression and Retrieval
• Module 6 — Tag Naming and Asset Models
• Module 7 — Data Quality for Time Series
• Module 8 — Contextualisation

Applied learning

• Case Study — The Batch the Data Said Was Perfect
• Lab 1 — Build an asset model
• Lab 2 — Compression versus fidelity
• Lab 3 — Clean a historian export
• Capstone — A Data Foundation for One Use Case

Who this course is for

Engineer / Architect; Technology Professional; Enterprise Team; Data Professional

Prerequisites

NE-IND-102

Course details

• Course code: NE-IND-201
• Level: Practitioner
• Estimated duration: 16 h
• Delivery: Self-Paced / Instructor-Led

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