Digital Transformation in Data Engineering, Databases & ERP Data Training Course in the UAE
Classroom cohorts in Dubai · live online · in-house anywhere in the UAE
Organisations modernising their systems quickly discover that the hardest part is the data: ageing databases, spreadsheets, and ERP records that never agree with each other. Digital transformation succeeds or stalls on how well that data is extracted, cleaned, moved and governed. Over ten days data and IT professionals learn to design the platform behind it. You review relational and dimensional modelling, then extract data from SAP, Oracle, Dynamics and Odoo style ERP modules and legacy sources, and plan migrations with reconciliation and rollback.
Pipeline sessions use SQL, Python and pandas, orchestration with Apache Airflow, change data capture, streaming basics and cloud warehouses and lakehouses. Further days cover data quality testing, master data across ERP modules, security, cost control and DataOps practice, with a lab-based capstone that connects an ERP extract to a reporting layer. Data engineers, database administrators, ERP and systems analysts, BI developers, IT managers and transformation leads in banks, utilities, government and manufacturing will gain most. It is offered in the classroom, online or in-house with a CPD-accredited certificate.
About this course
Transformation programmes now routinely promise real-time reporting, automation and machine learning, but each of those depends on data that moves reliably between systems. In many institutions the core ERP, the legacy databases and a growing set of cloud applications hold overlapping versions of the truth. Finance, procurement, human resources and operations each build their own extracts, and the cost of reconciling them keeps rising.
This advanced programme addresses the engineering side of that problem. Participants assess their current data estate, then design a target architecture that may combine a warehouse, lakehouse and operational stores. They learn the patterns used to pull data out of ERP systems without disrupting transactions, to model it for analysis, and to build tested pipelines that run on a schedule or on events. The second week deepens the work with performance tuning, orchestration, streaming, governance, security and the operational discipline of DataOps.
Because the subject is practical, most of each day is spent in the lab on realistic ERP-style datasets. Participants finish with a working pipeline, a documented target architecture and a phased migration plan for their own organisation.
Training Objectives
On completing the programme, participants will be able to:
- Assess a legacy data estate and define a target data architecture for transformation.
- Design relational and dimensional models for ERP-derived data.
- Extract data from ERP modules and legacy databases using views, APIs and bulk methods.
- Build ETL and ELT pipelines with SQL, Python and pandas.
- Orchestrate and monitor jobs using Apache Airflow.
- Implement change data capture and basic streaming ingestion.
- Load and optimise cloud data warehouses and lakehouse tables.
- Plan and execute a data migration with reconciliation and rollback.
What you'll learn
Key Takeaways
Participants leave with:
- A target data architecture diagram and migration roadmap.
- A dimensional model built from ERP finance and procurement data.
- A working Python and SQL pipeline orchestrated in Airflow.
- A data quality test suite and reconciliation report template.
- A cloud warehouse loading pattern with cost and performance guidance.
- A runbook for monitoring, incident handling and DataOps routines.
Training Methodology
The programme is lab centred and aligned with real data engineering practice. Participants experience:
- Hands-on labs in SQL, Python and Airflow on realistic ERP-style datasets
- Architecture workshops that produce reusable diagrams and decision records
- Code review sessions on participants' pipelines
- Case studies of ERP migration and warehouse modernisation, including what went wrong
- A capstone build with facilitator coaching
Day 1: Transformation Strategy and Data Estate Assessment
- Drivers and risks of digital transformation programmes
- Inventory of databases, ERP modules and shadow data
- Data architecture patterns: warehouse, lake and lakehouse
- Assessing data quality, volume and dependencies
- Defining target state and success measures
- Exercise: mapping a legacy data landscape
Day 2: Relational Databases and Advanced SQL
- Relational design, keys and normalisation
- Window functions, CTEs and set-based logic
- Indexing, execution plans and tuning
- Transactions, locking and concurrency
- Working with large tables safely
- Lab: query optimisation on an ERP schema
Day 3: Understanding ERP Data Structures
- Typical ERP modules: finance, procurement, inventory and HR
- Core tables, documents and master data relationships
- Extraction methods: views, APIs, bulk exports and replication
- Impact on production systems and extraction windows
- Custom fields and configuration challenges
- Lab: extracting purchase and ledger data
Day 4: Dimensional Modelling for Analytics
- Facts, dimensions and star schemas
- Slowly changing dimensions
- Conformed dimensions across ERP modules
- Modelling finance, procurement and inventory subject areas
- Semantic layers for reporting tools
- Lab: building a star schema from ERP extracts
Day 5: Python for Data Pipelines
- Python and pandas for transformation
- Reading from databases, files and APIs
- Error handling, logging and idempotent loads
- Testing transformation code
- Packaging and version control for pipelines
- Lab: coding an extract and transform job
Day 6: Orchestration and Cloud Warehousing
- Apache Airflow DAGs, schedules and dependencies
- Retries, alerts and backfills
- Cloud warehouse and lakehouse concepts
- Loading, partitioning and clustering for performance
- Managing cost and workloads
- Lab: scheduling pipelines in Airflow
Day 7: Change Data Capture and Streaming
- Log-based and trigger-based change capture
- Incremental loading strategies
- Message queues and event streaming basics
- Near real-time reporting architectures
- Handling late and out-of-order data
- Lab: capturing changes from an operational database
Day 8: Data Quality, Master Data and Governance
- Automated data quality checks and testing frameworks
- Reconciliation between ERP, warehouse and reports
- Master and reference data across modules
- Lineage, cataloguing and documentation
- Access control, masking and audit trails
- Lab: building a quality test suite
Day 9: Migration Planning and Execution
- Migration strategies: big bang, phased and parallel run
- Data mapping, transformation rules and cutover plans
- Cleansing before migration
- Validation, reconciliation and rollback procedures
- Risk and change control in migration projects
- Exercise: drafting a migration plan
Day 10: DataOps, Capstone and Roadmap
- CI/CD for data pipelines
- Monitoring, alerting and incident response
- Operating model and skills for a data platform team
- Capstone: connecting an ERP extract to a reporting layer
- Capstone presentations and peer review
- Transformation roadmap and course review
The programme is intended for technical and project professionals who deliver or sponsor data modernisation, including:
- Data engineers and analytics engineers
- Database administrators and architects
- ERP functional consultants and systems analysts
- Business intelligence and reporting developers
- IT managers and heads of digital transformation
- Integration and application support specialists
- Data governance and enterprise architecture staff
- Technical auditors reviewing system migrations
Participants who attend all ten days and deliver the capstone pipeline are awarded 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
Need help with this booking?
Our training team can help with group pricing, invoicing, or picking the right schedule.
Choose Where You Want to Learn
Digital Transformation in Data Engineering, Databases & ERP Data Training Course Venues
UAEDubaiNext Oct 26· 13 dates$7,600
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
GhanaAccraNext Nov 16· 13 dates$9,000
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Frequently Asked Questions About Digital Transformation in Data Engineering, Databases & ERP Data Training Course in the UAE
Everything you need to know about this course before you register.
Digital Transformation in Data Engineering, Databases & ERP Data Training Course runs as classroom training in Dubai, United Arab Emirates, in Monday-to-Friday cohorts that start every four weeks. You can also join a live online cohort from anywhere in the UAE, or book it in-house at your organisation's own premises.
The next classroom cohort in the UAE starts on October 26, 2026 in Dubai, and a new intake follows every four weeks in each city. Pick a city and date in the schedule panel above, then click "Register for the Course" — your seat is confirmed once payment or a signed purchase order is received.
The classroom fee for Digital Transformation in Data Engineering, Databases & ERP Data Training Course in the UAE is USD 7,600 per delegate. The fee covers tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Yes — Digital Transformation in Data Engineering, Databases & ERP Data Training Course can be delivered at your offices anywhere in the UAE, or at a venue you choose, on dates that suit your team, with case studies tailored to your sector. Switch to the "In-House" tab in the schedule panel above to request a proposal.
Yes. Digital Transformation in Data Engineering, Databases & ERP Data Training Course also runs as live online training: the same curriculum as the classroom programme, taught by a trainer in real time, so you can join from anywhere in the UAE without travelling. Choose "Virtual Live" in the schedule panel above to see the online dates and fee.
By the end of the Digital Transformation in Data Engineering, Databases & ERP Data programme, you'll be able to assess a legacy data estate and define a target data architecture for transformation, design relational and dimensional models for erp-derived data, extract data from erp modules and legacy databases using views, apis and bulk methods, and build etl and elt pipelines with sql, python and pandas. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme is intended for technical and project professionals who deliver or sponsor data modernisation, including: Data engineers and analytics engineers, Database administrators and architects, ERP functional consultants and systems analysts, Business intelligence and reporting developers, IT managers and heads of digital transformation, Integration and application support specialists, Data governance and enterprise architecture staff, and Technical auditors reviewing system migrations.
Digital Transformation 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.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Digital Transformation 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.
Digital Transformation in 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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Training by Country
Digital Transformation in Data Engineering, Databases & ERP Data Training Course in Other Countries
- Digital Transformation in Data Engineering, Databases & ERP Data Training Course in GhanaGHClassroom in Accra
- Digital Transformation in Data Engineering, Databases & ERP Data Training Course in KenyaKEClassroom in Nairobi, Mombasa, Naivasha, Kisumu, Machakos
- Digital Transformation in Data Engineering, Databases & ERP Data Training Course in NigeriaNGClassroom in Lagos, Abuja
- Digital Transformation in Data Engineering, Databases & ERP Data Training Course in RwandaRWClassroom in Kigali
- Digital Transformation in Data Engineering, Databases & ERP Data Training Course in South AfricaZAClassroom in Pretoria, Johannesburg, Cape Town
- Digital Transformation in Data Engineering, Databases & ERP Data Training Course in TanzaniaTZClassroom in Arusha, Dodoma, Dar es Salaam, Zanzibar
- Digital Transformation in Data Engineering, Databases & ERP Data Training Course in UgandaUGClassroom in Kampala
- Digital Transformation in Data Engineering, Databases & ERP Data Training Course worldwideEvery city, online and in-house date
- Live Online Digital Transformation in Data Engineering, Databases & ERP Data Training CourseInstructor-led, joined from anywhere
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