Reports are only as good as the data behind them, and in most organisations that data is scattered across transactional databases, spreadsheets and an ERP system whose tables few people fully understand. Pipelines break silently, definitions differ between departments and analysts spend most of their time cleaning rather than analysing. Ten days of labs teach the working habits that prevent this.
You design relational schemas, write and tune SQL, apply normalisation and dimensional modelling, build extract-transform-load and ELT pipelines, schedule and orchestrate jobs, version control code, test data and monitor freshness and failures. Dedicated sessions open up ERP data from systems such as SAP and Odoo: understanding master and transactional tables, extracting incrementally, reconciling to financial reports and handling change. Later days cover data warehouses and lakes, cloud services, security, lineage, documentation and performance, ending with an integrated pipeline project. The programme suits data engineers, database administrators, BI developers, ERP analysts and consultants, IT managers and finance systems staff who need dependable data. It is offered in the classroom, online or in-house and concludes with a CPD-accredited certificate. Afterwards you can build, document and monitor a tested pipeline from an ERP source to a reporting model.
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:
Participants complete the programme with:
This is a laboratory-driven programme in which participants build while they learn. Components include:
Day 1: Data Platform Foundations
Day 2: Relational Modelling and Normalisation
Day 3: Professional SQL
Day 4: Performance and Database Operations
Day 5: Dimensional Modelling and Warehouses
Day 6: Understanding and Extracting ERP Data
Day 7: Building ETL and ELT Pipelines
Day 8: Orchestration, Version Control and Testing
Day 9: Data Quality, Lineage and Governance
Day 10: Integrated Project and Operating Model
The programme is designed for technical and analytical staff who build or depend on data platforms, including:
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.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Everything you need to know about this course before you register.
By the end of the Best Practices in Data Engineering, Databases & ERP Data programme, you'll 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, and build extract-transform-load and elt pipelines that are repeatable and idempotent. The full breakdown of topics is covered session by session in the Course Outline tab above.
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, and Internal auditors who test system data.
Best Practices in Data Engineering, Databases & ERP Data Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Best Practices in Data Engineering, Databases & ERP Data Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Best Practices in Data Engineering, Databases & ERP Data starts October 19, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Best Practices in Data Engineering, Databases & ERP Data Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Best Practices in Data Engineering, Databases & ERP Data Training Course is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Best Practices in Data Engineering, Databases & ERP Data Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Best Practices in Data Engineering, Databases & ERP Data Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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