Transformation programmes now routinely promise real-time reporting, automation and machine learning, but each of those depends on data that moves reliably between systems. In many institutions the core ERP, the legacy databases and a growing set of cloud applications hold overlapping versions of the truth. Finance, procurement, human resources and operations each build their own extracts, and the cost of reconciling them keeps rising.

This advanced programme addresses the engineering side of that problem. Participants assess their current data estate, then design a target architecture that may combine a warehouse, lakehouse and operational stores. They learn the patterns used to pull data out of ERP systems without disrupting transactions, to model it for analysis, and to build tested pipelines that run on a schedule or on events. The second week deepens the work with performance tuning, orchestration, streaming, governance, security and the operational discipline of DataOps.

Because the subject is practical, most of each day is spent in the lab on realistic ERP-style datasets. Participants finish with a working pipeline, a documented target architecture and a phased migration plan for their own organisation.

On completing the programme, participants will be able to:

• Assess a legacy data estate and define a target data architecture for transformation.
• Design relational and dimensional models for ERP-derived data.
• Extract data from ERP modules and legacy databases using views, APIs and bulk methods.
• Build ETL and ELT pipelines with SQL, Python and pandas.
• Orchestrate and monitor jobs using Apache Airflow.
• Implement change data capture and basic streaming ingestion.
• Load and optimise cloud data warehouses and lakehouse tables.
• Plan and execute a data migration with reconciliation and rollback.

The programme is intended for technical and project professionals who deliver or sponsor data modernisation, including:

• Data engineers and analytics engineers
• Database administrators and architects
• ERP functional consultants and systems analysts
• Business intelligence and reporting developers
• IT managers and heads of digital transformation
• Integration and application support specialists
• Data governance and enterprise architecture staff
• Technical auditors reviewing system migrations

Participants leave with:

• A target data architecture diagram and migration roadmap.
• A dimensional model built from ERP finance and procurement data.
• A working Python and SQL pipeline orchestrated in Airflow.
• A data quality test suite and reconciliation report template.
• A cloud warehouse loading pattern with cost and performance guidance.
• A runbook for monitoring, incident handling and DataOps routines.

The programme is lab centred and aligned with real data engineering practice. Participants experience:

• Hands-on labs in SQL, Python and Airflow on realistic ERP-style datasets
• Architecture workshops that produce reusable diagrams and decision records
• Code review sessions on participants' pipelines
• Case studies of ERP migration and warehouse modernisation, including what went wrong
• A capstone build with facilitator coaching

Participants who attend all ten days and deliver the capstone pipeline are awarded a CPD-accredited Certificate of Completion by Vision Reach Global Consultancy.