Organisations now depend on data for pricing, forecasting, regulatory reporting and day-to-day control, yet the engineering behind it is often improvised. Hand-built extracts, undocumented transformations and fragile scheduled jobs produce numbers that cannot be reconciled and decisions that cannot be defended. ERP platforms add complexity, because their data structures reflect business processes, not analytical needs.

The Best Practices in Data Engineering, Databases and ERP Data Training Course sets out a disciplined approach for the full journey from source to insight. Participants work first on database fundamentals and modelling, then on pipeline design, orchestration and testing, and finally on warehouse architecture, security and operations. Alongside this runs a thread on ERP data, covering how to find the right tables, extract changes safely, reconcile to the books and keep pace with system upgrades.

The ten-day structure allows depth. Early days build core skills in SQL and modelling, middle days introduce pipeline tooling and quality engineering, and later days apply everything to a realistic ERP-sourced reporting project that participants build, test and present.

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

• Design normalised relational schemas and dimensional models for reporting.
• Write efficient SQL using joins, window functions and common table expressions.
• Tune queries with indexes, execution plans and sensible partitioning.
• Build extract-transform-load and ELT pipelines that are repeatable and idempotent.
• Orchestrate and schedule workflows with dependency handling and alerting.
• Implement automated data quality tests, reconciliation and monitoring.
• Extract and model data from ERP systems, including incremental loads.
• Apply version control, documentation, access control and lineage practices, and choose between warehouse, lakehouse and cloud options.

The programme is designed for technical and analytical staff who build or depend on data platforms, including:

• Data engineers and ETL developers
• Database administrators and DBAs
• Business intelligence and reporting developers
• ERP functional consultants and systems analysts
• Finance systems and management accounting staff using ERP data
• IT managers and solution architects
• Data analysts moving into engineering roles
• Software developers building data-intensive applications
• Internal auditors who test system data

Participants complete the programme with:

• A documented dimensional model for a reporting area of their choice.
• A tested, scheduled pipeline from an ERP-style source to a warehouse.
• A library of reusable SQL patterns and data quality checks.
• A reconciliation routine that ties extracted data back to ledger totals.
• A repository structure and release checklist for data code.
• An operating runbook covering monitoring, failures and access control.

This is a laboratory-driven programme in which participants build while they learn. Components include:

• Daily hands-on labs using a shared relational database and sample ERP datasets
• Guided coding in SQL and Python with trainer walk-throughs
• Code review sessions that apply the same standards expected in production
• Troubleshooting drills with deliberately broken pipelines
• A closing team project that combines every layer of the stack

Vision Reach Global Consultancy issues a CPD-accredited Certificate of Completion to participants who attend the ten days and complete the labs and the closing project.