Course Description
Before data science can deliver value, industrial data must be collected, moved, stored, and prepared reliably at scale. Data engineering provides this foundation. This course develops the practical understanding of how industrial data pipelines are designed and built to support analytics and machine learning.
Participants learn to design data collection strategies for industrial networks, handle non-traditional IoT data streams, build data pipelines, and manage storage in cloud and edge environments. The course connects the operational technology layer (sensors, PLC, SCADA) with the data infrastructure that modern industrial analytics depends on.
What you will achieve
By the end of this training course, participants will be able to:
- Explain the role of data engineering in industrial analytics
- Design a data collection strategy for industrial networks
- Handle IoT and non-traditional industrial data streams
- Build data pipelines for industrial data
- Understand batch and streaming data processing
- Manage industrial data storage (data lakes, time-series databases)
- Apply cloud and edge data architectures
- Address data quality, governance, and security
How the course is delivered
The course combines data engineering concepts with industrial data architecture examples. Participants explore how data flows from sensors through pipelines to storage and analytics, using realistic industrial scenarios.
The programme balances architecture understanding with the practical realities of industrial data at scale.
Designed for
This training course is ideal for:
- Industrial data engineers and architects
- Data scientists needing pipeline knowledge
- IIoT and automation engineers
- Digital transformation professionals
- Technical staff building data infrastructure
Daily programme
- The role of data engineering
- The industrial data landscape
- From OT data to analytics
- Data collection strategy
- Building data pipelines
- Batch versus streaming processing
- Ingesting IoT and sensor data
- Data transformation and preparation
- Industrial data storage
- Time-series databases
- Data lakes and warehouses
- Cloud and edge data architecture
- Data quality management
- Data governance
- Data security for industrial systems
- Case study workshop and review
Certification & accreditation
BII Certificate of Completion
BII Certificate of Completion Upon successful completion, participants receive a BII Development Institute Certificate of Completion with a unique reference code that is independently verifiable. Our certificates are recognised internationally and reflect successful completion of your chosen programme.
