Introduction

Data Integration in Manufacturing Systems Training Course is designed to equip professionals with cutting-edge skills in industrial data connectivity, smart manufacturing, IIoT integration, and real-time production analytics. As modern factories evolve into highly connected digital ecosystems, the ability to integrate heterogeneous data sources from PLCs, SCADA systems, MES platforms, ERP systems, and IoT sensors has become a critical competency for achieving operational excellence and Industry 4.0 transformation.

This training course provides hands-on exposure to advanced data integration architectures, cloud-based manufacturing data pipelines, edge computing frameworks, and interoperability standards such as OPC UA, MQTT, and REST APIs. Participants will learn how to unify production data, improve decision-making through real-time analytics, reduce downtime using predictive insights, and enable seamless digital thread connectivity across the manufacturing value chain.

Programme Curriculum

Data Integration in Manufacturing Systems Training Course

Introduction

Corse Duration

10 days

Course Objectives

Master Industrial Data Integration Architecture Design
Implement Smart Manufacturing Data Pipelines
Enable IIoT Connectivity and Device Interoperability
Develop Real-Time Production Data Streaming Solutions
Integrate ERP, MES, and SCADA Systems Seamlessly
Apply OPC UA and MQTT Communication Protocols
Build Cloud-Based Manufacturing Data Platforms
Implement Edge Computing for Factory Automation
Enable Predictive Maintenance through Data Fusion
Improve Manufacturing Process Optimization using Analytics
Strengthen Cyber-Physical System Integration
Deploy Digital Twin Data Synchronization Models
Enhance Industrial Data Governance and Security

Target Audience

Manufacturing Engineers
Automation Engineers
Data Engineers in Industrial IT
Plant Managers and Operations Leaders
Industrial IoT Solution Architects
SCADA/MES System Developers
ERP Integration Specialists
Digital Transformation Consultants

Course Modules

Module 1: Introduction to Industry 4.0 Data Ecosystem

Evolution of smart factories
Data-driven manufacturing overview
Key digital transformation trends
Industrial connectivity landscape
Case Study: Automotive smart factory transformation

Module 2: Manufacturing Data Architecture Fundamentals

Layered architecture models
OT vs IT integration
Data flow mapping techniques
System interoperability basics
Case Study: FMCG plant data architecture redesign

Module 3: Industrial Communication Protocols

OPC UA fundamentals
MQTT messaging systems
Modbus and Profinet overview
REST API integration
Case Study: PLC-to-cloud communication setup

Module 4: SCADA & MES Integration

SCADA system data extraction
MES workflow integration
Production data synchronization
Real-time monitoring dashboards
Case Study: Pharmaceutical production monitoring system

Module 5: ERP System Integration in Manufacturing

ERP manufacturing modules
Data exchange mechanisms
Supply chain synchronization
Order-to-production workflows
Case Study: ERP-MES integration in textile industry

Module 6: Industrial IoT (IIoT) Data Integration

Sensor data acquisition
IoT gateway architecture
Device interoperability
Streaming data pipelines
Case Study: Smart sensor deployment in assembly line

Module 7: Edge Computing in Manufacturing

Edge vs cloud processing
Latency reduction strategies
Edge analytics deployment
Real-time decision systems
Case Study: CNC machine edge analytics

Module 8: Cloud Manufacturing Platforms

AWS/Azure industrial services
Cloud data lakes for manufacturing
Hybrid architecture models
Scalable storage solutions
Case Study: Cloud-enabled factory monitoring system

Module 9: Real-Time Data Streaming & Processing

Event-driven architecture
Apache Kafka in manufacturing
Stream processing engines
Real-time dashboards
Case Study: Defect detection in production line

Module 10: Data Integration Tools & Middleware

ETL/ELT pipelines
Industrial middleware platforms
API management tools
Data synchronization strategies
Case Study: Multi-factory integration system

Module 11: Predictive Maintenance Integration

Machine health monitoring
AI-based failure prediction
Vibration and sensor analytics
Maintenance scheduling automation
Case Study: Predictive maintenance in power plant

Module 12: Digital Twin Data Integration

Digital twin architecture
Real-time simulation models
Data synchronization techniques
Virtual commissioning systems
Case Study: Digital twin in automotive manufacturing

Module 13: Manufacturing Data Security & Governance

Industrial cybersecurity risks
Data encryption techniques
Access control frameworks
Compliance standards
Case Study: Secure smart factory implementation

Module 14: Data Visualization & Manufacturing Dashboards

KPI design principles
BI tools for manufacturing
Real-time visualization systems
Decision support dashboards
Case Study: OEE dashboard implementation

Module 15: End-to-End Smart Factory Integration Project

Full system integration design
Cross-platform connectivity
Data pipeline optimization
Performance evaluation
Case Study: Fully integrated smart manufacturing plant

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

System integration Data management Process connectivity Information flow

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000