Strategic Data Engineering, Databases & ERP Data Training Course in Accra, Ghana
Classroom training in Accra · next cohort Nov 16, 2026 · from USD 9,000
ERP systems hold the most valuable records in an organisation, yet getting that data into forms that finance, operations and analytics teams can trust remains slow, brittle and expensive. Strategic data engineering closes this gap by treating data movement, modelling and quality as an engineered product.
Over ten days, participants work through relational design and advanced SQL, change data capture, batch and streaming pipelines, orchestration, dimensional modelling, data warehouse and lakehouse architecture, and extraction from ERP platforms such as SAP, Oracle and Dynamics. Later sessions cover transformation with dbt, data quality testing, metadata and lineage, security, cost management, performance tuning and operating a platform in production. Labs use PostgreSQL, Python, Airflow and cloud storage, and conclude with a capstone that connects a sample ERP extract to a governed reporting layer. The programme is intended for data engineers, database administrators, ERP analysts, BI developers, solution architects and IT managers who plan data strategy. Classroom, online and in-house delivery are offered, together with a CPD-accredited certificate. You return able to propose a target architecture and build its core pipelines.
At a Glance
Training in Accra, Ghana
Accra is Ghana's capital and a stable, English-speaking business hub for West Africa.
More about training in Accra →- Format
- Classroom, in Accra
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 9,000
- Next start dates
- Nov 16, 2026, Dec 14, 2026, Jan 11, 2027
- Certificate
- Certificate of Completion
- Airport
- Kotoka International (ACC)
- Time zone
- Greenwich Mean Time (UTC+0)
- Currency
- Ghanaian cedi (GHS). Fees are listed in USD.
- Business districts
- Airport City, Cantonments, Ridge and Osu
About this course
Organisations run on transactional systems, but decisions depend on data that is integrated, timely and consistent. Finance wants reconciled ledgers, supply chain wants inventory visibility and leadership wants dashboards without waiting for a month-end extract. Delivering this requires more than tools; it requires an architecture, engineering practices and clear data ownership between ERP, database and analytics teams.
The Strategic Data Engineering, Databases & ERP Data Training Course develops that capability across ten days. The first half builds foundations: relational and dimensional modelling, advanced SQL, indexing and query tuning, data integration patterns, change data capture and ETL versus ELT design, together with an introduction to ERP data structures such as master data, transaction tables and organisational hierarchies. The second half moves to platform design and operations: warehouse and lakehouse architecture, orchestration, transformation frameworks, quality testing, lineage, security, cost control, monitoring and incident handling.
Training is laboratory-driven. Delegates write code, build and schedule pipelines, model an ERP extract and debug realistic failures. A capstone project consolidates the work into a documented reference architecture, supported by a strategy brief for stakeholders explaining priorities, risks and the resources required.
Training Objectives
By the end of the course, participants will be able to:
- Design relational and dimensional data models suited to transactional and analytical workloads.
- Write and optimise advanced SQL for large datasets and complex business logic.
- Build batch and incremental pipelines using ETL and ELT patterns with orchestration.
- Extract and interpret data structures from ERP systems including master and transaction data.
- Implement change data capture and manage slowly changing dimensions.
- Architect data warehouse and lakehouse platforms on cloud or on-premises infrastructure.
- Apply data quality testing, lineage, access control and privacy safeguards.
- Monitor, tune and cost-manage data platforms and communicate strategy to stakeholders.
What you'll learn
Key Takeaways
Participants finish the programme with:
- A reference architecture for an ERP-to-analytics data platform.
- Working pipeline code and orchestration schedules built in the labs.
- A dimensional model for finance or supply chain reporting.
- A data quality test suite and monitoring approach.
- A cost and performance tuning checklist for databases and warehouses.
- A strategy brief outlining priorities, risks and resourcing for stakeholders.
Training Methodology
The programme is lab-intensive and builds incrementally toward a capstone. It features:
- Concise architecture briefings followed by supervised coding labs
- A continuing case organisation with ERP-style finance and supply chain data
- Pair debugging sessions on realistic pipeline failures
- Design reviews where participants defend architecture choices
- Capstone presentation to a panel acting as business stakeholders
Day 1: Data Platforms and Architecture Principles
- Operational, analytical and ERP data landscapes
- Modern data stack, warehouse, lake and lakehouse patterns
- Architecture decision records and trade-offs
- Roles in a data team and engineering practices
- Environment setup for the labs
- Lab: provisioning a PostgreSQL practice environment
Day 2: Relational Design and Advanced SQL
- Normalisation, keys and constraints
- Joins, window functions and common table expressions
- Indexing strategies and reading execution plans
- Transactions, isolation levels and concurrency
- Stored logic and views
- Lab: query optimisation on a large table
Day 3: ERP Data Structures
- Anatomy of ERP data: organisational hierarchies, master and transaction tables
- SAP, Oracle and Dynamics data concepts
- Finance, procurement, inventory and sales documents
- Extraction options: APIs, views, flat files and replication
- Data volume, history and delta handling
- Lab: exploring an ERP sample extract
Day 4: Dimensional Modelling and Warehousing
- Star schemas, facts, dimensions and grain
- Slowly changing dimensions
- Conformed dimensions and data marts
- Modelling finance and supply chain subject areas
- Warehouse performance: partitioning and clustering
- Lab: designing a sales and ledger model
Day 5: Integration Patterns and Pipelines
- ETL versus ELT and when to use each
- Batch ingestion and incremental loads
- Change data capture and event streams
- File, API and database connectors
- Error handling and idempotent loads
- Lab: building an incremental pipeline in Python
Day 6: Orchestration and Transformation Engineering
- Workflow orchestration with Airflow concepts
- Dependency management, scheduling and retries
- Transformation frameworks and dbt models
- Version control and CI for data code
- Environments and promotion practices
- Lab: scheduling and testing a transformation project
Day 7: Data Quality, Lineage and Governance
- Quality dimensions and automated testing
- Reconciliation between ERP and warehouse
- Metadata catalogues and lineage tracking
- Master data harmonisation across systems
- Access control, masking and privacy
- Lab: implementing quality tests and a reconciliation report
Day 8: Cloud Platforms, Cost and Performance
- Object storage, compute and managed warehouse services
- Streaming and near-real-time options
- Capacity planning and workload isolation
- Cost monitoring and optimisation
- Backup, recovery and high availability
- Exercise: costing two architecture options
Day 9: Operations, Observability and Security
- Monitoring pipelines and data freshness
- Alerting, incident response and runbooks
- Service levels for data products
- Security architecture, encryption and audit logging
- Migration and cutover planning for ERP upgrades
- Simulation: handling a failed load in production
Day 10: Capstone and Data Strategy
- Capstone build: ERP extract to governed reporting layer
- Documenting architecture and operating model
- Presenting trade-offs, risks and roadmap to stakeholders
- Business case and resourcing for the data platform
- Peer review of capstone projects
- Action plan and course review
The programme is aimed at technical and managerial professionals who build or oversee data platforms, including:
- Data engineers and analytics engineers
- Database administrators and developers
- ERP functional consultants and business systems analysts
- BI and reporting developers
- Solution and enterprise architects
- IT managers and heads of data
- Finance systems and master data managers
- Technical consultants integrating systems for clients
Participants who attend the sessions and complete the labs and capstone are awarded a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
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Frequently Asked Questions About Strategic Data Engineering, Databases & ERP Data Training Course in Accra
Everything you need to know about this course before you register.
Strategic Data Engineering, Databases & ERP Data Training Course runs as classroom training in Accra, Ghana, in Monday-to-Friday cohorts that start every four weeks. The venue, daily timings and joining details are sent in your Joining Instructions email ahead of the start date.
The next Accra cohort starts on November 16, 2026, and a new intake follows every four weeks. Pick a date under "Upcoming sessions in Accra" above and click Register; your seat is confirmed once payment or a signed purchase order is received.
The classroom fee for Strategic Data Engineering, Databases & ERP Data Training Course in Accra is USD 9,000 per delegate, covering tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Accra is the only classroom city for Strategic Data Engineering, Databases & ERP Data Training Course in Ghana at the moment. You can also join a live online cohort from anywhere in Ghana, or book it in-house at your organisation's own premises.
Yes — Strategic Data Engineering, Databases & ERP Data Training Course can be delivered at your offices in Accra or at a venue you choose, on dates that suit your team, with case studies tailored to your sector. Message our training advisors to request a proposal.
By the end of the Strategic Data Engineering, Databases & ERP Data programme, you'll be able to design relational and dimensional data models suited to transactional and analytical workloads, write and optimise advanced sql for large datasets and complex business logic, build batch and incremental pipelines using etl and elt patterns with orchestration, and extract and interpret data structures from erp systems including master and transaction data. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme is aimed at technical and managerial professionals who build or oversee data platforms, including: Data engineers and analytics engineers, Database administrators and developers, ERP functional consultants and business systems analysts, BI and reporting developers, Solution and enterprise architects, IT managers and heads of data, Finance systems and master data managers, and Technical consultants integrating systems for clients.
Strategic 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.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Strategic 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.
Strategic 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.
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