Organisations run on transactional systems, but decisions depend on data that is integrated, timely and consistent. Finance wants reconciled ledgers, supply chain wants inventory visibility and leadership wants dashboards without waiting for a month-end extract. Delivering this requires more than tools; it requires an architecture, engineering practices and clear data ownership between ERP, database and analytics teams.

The Strategic Data Engineering, Databases & ERP Data Training Course develops that capability across ten days. The first half builds foundations: relational and dimensional modelling, advanced SQL, indexing and query tuning, data integration patterns, change data capture and ETL versus ELT design, together with an introduction to ERP data structures such as master data, transaction tables and organisational hierarchies. The second half moves to platform design and operations: warehouse and lakehouse architecture, orchestration, transformation frameworks, quality testing, lineage, security, cost control, monitoring and incident handling.

Training is laboratory-driven. Delegates write code, build and schedule pipelines, model an ERP extract and debug realistic failures. A capstone project consolidates the work into a documented reference architecture, supported by a strategy brief for stakeholders explaining priorities, risks and the resources required.

By the end of the course, participants will be able to:

• Design relational and dimensional data models suited to transactional and analytical workloads.
• Write and optimise advanced SQL for large datasets and complex business logic.
• Build batch and incremental pipelines using ETL and ELT patterns with orchestration.
• Extract and interpret data structures from ERP systems including master and transaction data.
• Implement change data capture and manage slowly changing dimensions.
• Architect data warehouse and lakehouse platforms on cloud or on-premises infrastructure.
• Apply data quality testing, lineage, access control and privacy safeguards.
• Monitor, tune and cost-manage data platforms and communicate strategy to stakeholders.

The programme is aimed at technical and managerial professionals who build or oversee data platforms, including:

• Data engineers and analytics engineers
• Database administrators and developers
• ERP functional consultants and business systems analysts
• BI and reporting developers
• Solution and enterprise architects
• IT managers and heads of data
• Finance systems and master data managers
• Technical consultants integrating systems for clients

Participants finish the programme with:

• A reference architecture for an ERP-to-analytics data platform.
• Working pipeline code and orchestration schedules built in the labs.
• A dimensional model for finance or supply chain reporting.
• A data quality test suite and monitoring approach.
• A cost and performance tuning checklist for databases and warehouses.
• A strategy brief outlining priorities, risks and resourcing for stakeholders.

The programme is lab-intensive and builds incrementally toward a capstone. It features:

• Concise architecture briefings followed by supervised coding labs
• A continuing case organisation with ERP-style finance and supply chain data
• Pair debugging sessions on realistic pipeline failures
• Design reviews where participants defend architecture choices
• Capstone presentation to a panel acting as business stakeholders

Participants who attend the sessions and complete the labs and capstone are awarded a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.