As organisations depend on analytics, automation and integrated ERP systems, the data platform behind them becomes critical infrastructure. Executives want dashboards that refresh on time, finance wants reconciled ledgers and auditors want a trail from source to report. Delivering all of that consistently is an operational challenge as much as an engineering one.

The Operational Excellence in Data Engineering, Databases and ERP Data Training Course focuses on the practices that separate stable data operations from firefighting teams. Participants examine how to standardise environments, version and test changes, monitor health and set realistic service levels. Database topics include performance diagnosis, maintenance, high availability, recovery and access control. Pipeline topics include dependable scheduling, error handling, data quality checks and lineage.

A dedicated thread addresses ERP data, where poor master data, inconsistent codes and fragile interfaces undermine finance, procurement and inventory processes. The second half of the programme deepens these themes through advanced tuning, automation, cost optimisation and continuous improvement methods, culminating in an integrated project. Delivery is laboratory based, with participants working on shared practice environments and their own operational problems.

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

• Define service levels and operational metrics for data platforms and ERP data flows.
• Diagnose and tune slow queries using execution plans, indexing and statistics.
• Implement backup, restore and disaster recovery routines and test them.
• Design reliable ETL and ELT pipelines with idempotent, restartable jobs.
• Orchestrate workflows with dependency handling, and set up monitoring, logging and observability for databases and pipelines.
• Apply data quality rules, data contracts and lineage tracking.
• Manage ERP master data, interfaces and migration cleansing.
• Run incident, problem and change management with root cause analysis, and use Lean methods to cut rework.

The course is intended for those who build, run or depend on data platforms, including:

• Data engineers and ETL developers
• Database administrators for PostgreSQL, SQL Server, MySQL or Oracle
• ERP analysts and SAP or Oracle functional consultants
• Business intelligence and reporting developers
• IT operations and service desk managers
• Data platform and analytics managers
• Systems integration and interface specialists
• IT auditors reviewing data operations

Participants complete the programme with usable operational assets:

• A service level objective set and monitoring plan for a data platform.
• A database tuning checklist and a tested recovery procedure.
• A pipeline design standard covering retries, logging and data quality gates.
• An ERP master data quality dashboard and clean-up approach.
• Runbooks and an incident review template.
• A prioritised improvement plan with expected savings.

Each concept is practised on live systems, as the course is lab-intensive. Delivery combines:

• Shared practice databases and pipeline environments for daily labs
• Failure injection exercises that mimic real outages
• Worked examples from finance, utilities and public sector data teams
• Review sessions on participants' own operational pain points
• A ten-day project producing a complete operations playbook

Participants who attend all ten days and submit the project receive a CPD-accredited Certificate of Completion from Vision Reach Global Consultancy.