Organisations now expect data to flow reliably from operational systems into analytics and reporting, yet many still depend on manual exports and fragile scripts. Enterprise resource planning systems hold the most valuable transactional records, but their data structures are complex, heavily customised and poorly documented. Engineers who can tame this complexity are in short supply.

The Advanced Data Engineering, Databases & ERP Data Training Course is a technical programme for people who already write SQL and some code. The first five days establish solid engineering foundations: relational design and normalisation, indexing and execution plans, transaction control, data modelling for analysis, ETL and ELT patterns, and the structure of ERP data across finance, supply chain and human resources. The second five days go deeper: orchestration, incremental loading and change data capture, data warehouse and lakehouse architecture, distributed processing with Spark, streaming, data quality testing, security and governance, and operational monitoring.

Nearly every session is a laboratory. Participants load and profile ERP-style extracts, optimise slow queries, build a dimensional model, code pipelines and schedule them with an orchestrator. The programme ends with an integrated project in which each participant delivers a documented pipeline and a curated dataset for reporting.

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

• Design normalised relational schemas and tune queries using indexes and execution plans.
• Explain transaction handling, locking and concurrency in production databases.
• Extract and interpret data from ERP modules covering finance, procurement, inventory and HR.
• Build batch and incremental ETL and ELT pipelines in Python and SQL.
• Model data with star schemas, fact tables and slowly changing dimensions.
• Orchestrate and schedule workflows using a tool such as Apache Airflow.
• Architect data warehouse and lakehouse layers on cloud or on-premise platforms.
• Implement data quality tests, logging, monitoring and alerting.

This advanced technical programme is designed for people who build and maintain data systems, including:

• Data engineers and analytics engineers
• Database administrators and database developers
• ERP functional and technical consultants
• Business intelligence developers and report builders
• Software developers moving into data roles
• Systems integrators and solution architects
• Data analysts who need to automate their pipelines
• IT managers overseeing data and reporting platforms

Participants leave the course with:

• A tuned set of SQL queries with before and after performance evidence.
• A dimensional model for a business area built from ERP-style source data.
• A working Python and SQL pipeline with incremental loading.
• A scheduled workflow with retries, logging and alerts.
• A data quality test suite that can be reused on new feeds.
• A reference architecture for a warehouse or lakehouse suited to their organisation.
• A documented end-to-end project to show colleagues and managers.

The course is a laboratory programme in which participants write and run real code. It combines:

• Short technical briefings followed by guided lab exercises
• ERP-style data sets that reflect the complexity of finance and supply chain tables
• Pair programming and code review to build good engineering habits
• Design workshops for architecture and modelling decisions
• An integrated project reviewed by the facilitator and peers

Participants who attend the full ten days and complete the labs and integrated project receive a CPD-accredited Certificate of Completion, issued by Vision Reach Global Consultancy.