Analytics, dashboards and automation are only as good as the data pipelines beneath them, and most organisations keep their most valuable records in ERP systems that are difficult to extract, clean and join. Over ten days, participants learn to design, load, move and query data reliably. The first week covers relational modelling, normalisation, entity relationship diagrams, SQL from basic queries to joins, window functions and stored procedures, indexing, transactions and performance tuning. Participants then explore how ERP platforms such as SAP, Oracle, Microsoft Dynamics and Odoo organise finance, procurement, inventory, sales and HR data.
The second week moves into engineering practice: extract, transform and load design, Python and SQL scripting, workflow orchestration, data validation, change data capture, dimensional modelling, star schemas, warehouse loading, ERP data migration and cutover, master data cleansing, API integration and reporting layers. Database administrators, developers, ERP analysts, business intelligence staff, systems auditors and finance or supply chain data owners will gain the most. Labs run on practice databases supplied during the sessions. Classroom delivery is available in 18 cities, plus online and in-house, with a CPD-accredited certificate. You can build a working pipeline from an ERP source to a reporting model.
Enterprise systems generate vast volumes of transactions, but the information inside them is often locked in complicated schemas, duplicated across modules and inconsistent between departments. Meanwhile, businesses want timely reports, analytics and integration with new cloud tools. Professionals who can bridge databases, ERP structures and modern data engineering practice are therefore in steady demand across banks, manufacturers, public bodies and NGOs.
This ten-day programme gives participants a complete, practical route from database fundamentals to production-style pipelines. It begins with relational theory and SQL, since reliable engineering depends on fluent querying and sound design. The course then turns to ERP data: how core tables are organised, how master and transactional data differ, why migrations fail and how to plan extraction, mapping, cleansing and reconciliation. Data engineering practice follows, with ETL and ELT patterns, scripting, scheduling, logging, error handling, quality checks and documentation.
The closing sessions focus on analytical delivery. Participants design dimensional models and warehouses, load them from ERP extracts, expose results through reports, and consider security, backup, governance and monitoring. Each day is organised around lab exercises on supplied datasets, and the programme ends with an integrated project in which each team delivers a small end-to-end data platform.
By the end of the course, participants will be able to:
Participants complete the programme with:
The programme is lab driven so that every concept is practised on working data:
Day 1: Data Platforms and Relational Foundations
Day 2: Database Design and Normalisation
Day 3: Intermediate SQL for Analysis
Day 4: Advanced SQL, Performance and Transactions
Day 5: Inside ERP Systems and Their Data
Day 6: ERP Data Migration and Cleansing
Day 7: ETL and ELT Pipeline Engineering
Day 8: Data Warehousing and Dimensional Modelling
Day 9: Quality, Security and Integration
Day 10: Capstone Project and Review
The course is practical in focus and suits those who handle enterprise data, including:
Participants who attend the ten days and complete the labs and capstone are granted a CPD-accredited Certificate of Completion by Vision Reach Global Consultancy.
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 Applied Data Engineering, Databases & ERP Data programme, you'll be able to design normalised relational schemas and document them with entity relationship diagrams, write sql queries using joins, subqueries, aggregation, window functions and views, tune queries with indexes, execution plans and sound transaction handling, and describe how erp modules store finance, procurement, inventory, sales and hr data. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is practical in focus and suits those who handle enterprise data, including: Database administrators and database developers, ERP functional consultants and system analysts, Data engineers and aspiring data engineers, Business intelligence developers and report writers, IT officers responsible for ERP support and migration projects, Systems and IT auditors, Finance, supply chain and HR data owners who extract ERP data, and Software developers integrating applications with enterprise systems.
Applied 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.
Applied 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 Applied Data Engineering, Databases & ERP Data starts November 2, 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 Applied 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.
Applied 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 Applied 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 — Applied 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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