Organisations increasingly compete and comply on the strength of their data, yet many manage it as a by-product of applications. ERP rollouts that move dirty data into a new system, pipelines that break silently and databases without tested recovery plans are common causes of lost money and credibility. Managers need enough technical depth to ask the right questions and enough management skill to organise the answers.

The Management of Data Engineering, Databases & ERP Data Training Course covers both sides over two weeks. The first week sets out the technical landscape: data modelling, relational and non-relational databases, performance and indexing, backup and recovery, data warehouse design, ETL and ELT tooling and cloud data platforms. Participants run hands-on exercises in SQL and review pipeline designs so that they can judge quality and risk in work done by their teams.

The second week deals with ERP data, integration and operations management. Topics include master data governance, data migration planning, cleansing and reconciliation, interface design, monitoring, incident management and service levels, along with budgeting, vendor management, security and compliance. Participants plan a realistic data platform or ERP data migration programme during the course and present it to a panel. They leave with a roadmap, a risk register and a team operating model ready for adaptation.

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

• Evaluate data architecture options across databases, warehouses, lakes and cloud services.
• Interpret data models and write basic SQL to examine data quality and performance.
• Specify and review ETL and ELT pipelines, including orchestration and monitoring.
• Plan backup, recovery, high availability and security controls for critical databases.
• Manage ERP master data and design migration, cutover and reconciliation plans.
• Design integration approaches between ERP, operational systems and analytics platforms.
• Establish data quality, governance and service level frameworks.
• Organise, budget and lead data engineering and database teams.

The course is directed at managers and senior practitioners responsible for data platforms and enterprise systems, including:

• Heads of data engineering, data platforms and analytics
• IT managers and chief information officers' deputies
• Database administrators moving into leadership roles
• ERP programme and project managers
• Solution and enterprise architects
• Business intelligence and reporting managers
• Finance and supply chain systems owners
• Public sector ICT directors and digital transformation leads
• IT audit and risk managers reviewing data environments

Participants leave the course with:

• A target data architecture sketch for their organisation.
• A pipeline review checklist covering reliability, lineage and monitoring.
• A disaster recovery and backup test plan for key databases.
• An ERP data migration plan with cleansing and reconciliation steps.
• A data service catalogue with proposed service levels and metrics.
• A team structure, skills matrix and 12-month roadmap with budget assumptions.

The programme balances technical understanding with management practice. Participants take part in:

• Hands-on SQL and data profiling labs on sample databases
• Architecture and pipeline review clinics using realistic designs
• ERP migration workshops with mapping and reconciliation templates
• Case studies on incidents, platform decisions and vendor selection
• A capstone roadmap presented to a facilitator panel

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