Live Online Professional Data Engineering, Databases & ERP Data Training Course
Live online, instructor-led · next cohort Oct 19, 2026 · from USD 1,700
Business decisions rely on data that sits in transactional databases and ERP modules, yet moving it into trustworthy reports often means fragile spreadsheets and one-off scripts. Ten days equip experienced IT and data practitioners to engineer pipelines that are tested, documented and maintainable.
The first block covers relational design, normalisation, indexing, advanced SQL, query tuning, transactions and security in PostgreSQL or SQL Server. The second turns to engineering: Python and SQL ETL and ELT, orchestration, change data capture, data quality testing, version control and cloud storage. The third focuses on ERP data, including the structures of finance, procurement, inventory, sales and HR modules in systems such as SAP and Dynamics, extraction methods, master data, data migration, reconciliation and integration through APIs. Final days build dimensional models and a warehouse feeding Power BI dashboards. Database administrators, data engineers, ERP analysts and consultants, business intelligence developers, systems analysts and ICT managers will gain skills they can use on return. The programme is delivered in classrooms in many cities, online or in-house, and results in a CPD-accredited Certificate of Completion. Afterwards you can design a warehouse, automate loads from an ERP and prove that the numbers reconcile.
At a Glance
How Live Online Training Works
Live online training, led by a trainer in real time, for participants anywhere.
More about live online training →- Format
- Live online, instructor-led
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 1,700 (KES 160,000)
- Next start dates
- Oct 19, 2026, Nov 16, 2026, Dec 14, 2026
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
About this course
Most organisations now run an ERP or several line-of-business systems, and each holds valuable data locked in complex schemas. Turning that data into dependable analytics requires more than reporting skills. It needs sound database design, repeatable pipelines, data quality controls and an understanding of how business transactions are stored in ERP modules.
This professional programme runs across ten days and progresses from foundations to integrated delivery. Participants first strengthen their command of relational modelling and SQL, including window functions, indexing strategy, performance tuning, transaction handling and role-based security. They then learn data engineering practice: designing ETL and ELT jobs in Python and SQL, scheduling and monitoring, handling incremental loads and schema changes, and testing for quality. A substantial block addresses ERP data, from understanding table structures and master data to extraction, migration cut-over planning and reconciliation to the general ledger.
The closing days bring everything together by modelling a star schema, loading a warehouse from a sample ERP extract and exposing results through dashboards. Work is almost entirely lab based on a provided environment. Delegates complete a capstone project and leave with code, diagrams and runbooks reusable on real systems.
Training Objectives
By the end of the course, participants will be able to:
- Design normalised relational schemas with appropriate keys, constraints and indexes.
- Write and tune advanced SQL, including joins, window functions and common table expressions.
- Build ETL and ELT pipelines in Python and SQL with logging, error handling and incremental loads.
- Schedule, orchestrate and monitor data workflows.
- Interpret the data structures behind core ERP modules and extract data safely.
- Plan and execute data migration with cleansing, mapping and reconciliation.
- Model dimensional warehouses and deliver reporting layers for business intelligence tools.
- Apply testing, documentation, security and access controls to data platforms.
What you'll learn
Key Takeaways
Participants leave with:
- A normalised database design and entity relationship diagram built from a business case.
- A library of tuned SQL patterns for reporting and reconciliation.
- A working Python ETL project with scheduling, logging and tests.
- An ERP data extraction and mapping guide for finance and supply modules.
- A migration plan with cleansing rules and reconciliation checks.
- A star schema warehouse and dashboard from their capstone project.
Training Methodology
This course is overwhelmingly practical, and every concept is applied in a provided lab environment. Delegates will:
- Follow short demonstrations, then repeat each technique themselves
- Work on a sample ERP database seeded with realistic transactions and defects
- Develop a version-controlled pipeline project over the ten days
- Take part in code reviews and troubleshooting clinics
- Present a capstone solution and defend design choices
Day 1: Relational Database Design
- Entities, relationships and entity relationship diagrams
- Normalisation to third normal form and when to denormalise
- Primary keys, foreign keys and constraints
- Data types, naming standards and documentation
- Translating business requirements into a schema
- Lab: designing and creating a schema in PostgreSQL
Day 2: Advanced SQL
- Complex joins, subqueries and set operations
- Common table expressions and recursive queries
- Window functions for ranking, running totals and lag analysis
- Views, stored procedures and functions
- Handling dates, nulls and text data
- Lab: solving reporting problems with advanced queries
Day 3: Performance, Transactions and Security
- Reading execution plans
- Index types and indexing strategy
- Transactions, isolation levels and locking
- Backup, recovery and high availability concepts
- Roles, privileges, row-level security and auditing
- Lab: tuning slow queries on a large table
Day 4: Data Engineering Foundations
- Data engineering lifecycle and architecture patterns
- Batch versus streaming and ETL versus ELT
- Python with pandas and database connectors
- Project structure, configuration and version control with Git
- Data lakes, warehouses and lakehouse ideas
- Lab: building a first extract and load job
Day 5: Building Robust Pipelines
- Incremental loads and change data capture
- Handling schema drift and late-arriving data
- Logging, retries and idempotent design
- Orchestration and scheduling with Airflow or equivalent
- Containers and environments for repeatable deployment
- Lab: scheduling a multi-step pipeline with alerts
Day 6: ERP Data Structures and Extraction
- How ERP systems store finance, procurement, inventory and sales data
- Document flows, header and line tables and posting logic
- Master data: customers, vendors, materials and chart of accounts
- Extraction methods: direct SQL, APIs, flat files and replication
- Licensing, performance and security cautions when reading ERP data
- Lab: extracting sales and ledger data from a sample ERP database
Day 7: Data Quality, Migration and Reconciliation
- Profiling and cleansing master data
- Mapping source fields to target structures
- Migration phases: trial loads, cut-over and fallback
- Reconciling data to trial balance and sub-ledgers
- Automated data quality tests and alerts
- Lab: building a reconciliation report
Day 8: Integration and APIs
- REST APIs, authentication and rate limits
- Working with JSON and semi-structured data
- Integrating ERP with CRM, e-commerce and mobile money systems
- Message queues and event-driven patterns
- Error handling and monitoring integrations
- Lab: loading API data into a staging area
Day 9: Dimensional Modelling and the Warehouse
- Facts, dimensions and star schema design
- Slowly changing dimensions and surrogate keys
- Conformed dimensions across finance and supply chain
- Building transformation layers with SQL models
- Data marts and semantic layers
- Lab: loading a warehouse from the ERP extract
Day 10: Capstone Project and Delivery
- Capstone: end-to-end pipeline from ERP source to dashboard
- Building Power BI reports on the warehouse
- Documentation, runbooks and handover
- Peer code review and testing walkthrough
- Operating model for support and change control
- Presentations and personal learning plan
The course is intended for technical professionals who already work with data or business systems, including:
- Database administrators and developers
- Data engineers and analytics engineers
- ERP functional and technical consultants
- Business intelligence and reporting developers
- Systems analysts and integration specialists
- ICT managers responsible for enterprise applications
- Finance and operations analysts who own system data
- Internal auditors performing data-driven reviews
Participants who attend all ten days and complete the labs and capstone project receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
Choose Where You Want to Learn
Professional Data Engineering, Databases & ERP Data Training Course Venues
KenyaNairobiNext Nov 9· 13 dates$3,000- KenyaMombasaNext Oct 26· 13 dates$3,200
- KenyaNaivashaNext Nov 2· 13 dates$3,000
- KenyaKisumuNext Oct 26· 13 dates$3,000
- KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
TanzaniaArushaNext Nov 9· 13 dates$3,800- TanzaniaDodomaNext Oct 26· 13 dates$3,600
- TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000
- TanzaniaZanzibarNext Nov 16· 13 dates$5,200
NigeriaLagosNext Nov 16· 13 dates$5,600- NigeriaAbujaNext Nov 9· 13 dates$5,600
South AfricaPretoriaNext Nov 2· 13 dates$6,400- South AfricaJohannesburgNext Nov 2· 13 dates$6,800
- South AfricaCape TownNext Oct 26· 13 dates$7,600
UAEDubaiNext Oct 26· 13 dates$7,600
GhanaAccraNext Nov 16· 13 dates$9,000
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Live Online Professional Data Engineering, Databases & ERP Data Training Course
Everything you need to know about this course before you register.
By the end of the Professional Data Engineering, Databases & ERP Data programme, you'll be able to design normalised relational schemas with appropriate keys, constraints and indexes, write and tune advanced sql, including joins, window functions and common table expressions, build etl and elt pipelines in python and sql with logging, error handling and incremental loads, and schedule, orchestrate and monitor data workflows. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is intended for technical professionals who already work with data or business systems, including: Database administrators and developers, Data engineers and analytics engineers, ERP functional and technical consultants, Business intelligence and reporting developers, Systems analysts and integration specialists, ICT managers responsible for enterprise applications, Finance and operations analysts who own system data, and Internal auditors performing data-driven reviews.
Professional 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.
Professional 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 Professional Data Engineering, Databases & ERP Data starts November 16, 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 Professional 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.
Professional Data Engineering, Databases & ERP Data Training Course is pitched at advanced 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 Professional 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 — Professional 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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