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Data Integration in Manufacturing Systems Training Course
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
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.
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
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.