Live Online Management of Data Engineering, Databases & ERP Data Training Course
Live online, instructor-led · next cohort Nov 2, 2026 · from USD 1,700
Behind every dashboard, financial close and customer record sits a stack of databases, pipelines and ERP tables that someone has to run, fund and defend. When this layer is managed badly, reports contradict each other, migrations overrun and systems fail at month end. Over ten days, this programme prepares team leaders and managers to direct data engineering and database work with technical credibility and sound management practice.
The curriculum covers data architecture and modelling, relational and NoSQL database administration, ETL and ELT pipelines, data warehouses and lakehouses, cloud platforms, streaming basics and orchestration. A substantial block addresses ERP data: master data, SAP and Oracle table structures, integration, data migration, cutover and reconciliation. Management topics include roadmaps and budgets, service levels, vendor selection, DevOps and DataOps, backup and disaster recovery, security, quality and governance, and building high-performing teams. It suits data and IT managers, ERP programme leads, database administrators, solution architects and heads of analytics in government, finance, telecoms and enterprises. Training is delivered in the classroom, online or in-house, and a CPD-accredited certificate is awarded.
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
- Nov 2, 2026, Nov 30, 2026, Dec 28, 2026
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
About this course
Organisations increasingly compete and comply on the strength of their data, yet many manage it as a by-product of applications. ERP rollouts that move dirty data into a new system, pipelines that break silently and databases without tested recovery plans are common causes of lost money and credibility. Managers need enough technical depth to ask the right questions and enough management skill to organise the answers.
The Management of Data Engineering, Databases & ERP Data Training Course covers both sides over two weeks. The first week sets out the technical landscape: data modelling, relational and non-relational databases, performance and indexing, backup and recovery, data warehouse design, ETL and ELT tooling and cloud data platforms. Participants run hands-on exercises in SQL and review pipeline designs so that they can judge quality and risk in work done by their teams.
The second week deals with ERP data, integration and operations management. Topics include master data governance, data migration planning, cleansing and reconciliation, interface design, monitoring, incident management and service levels, along with budgeting, vendor management, security and compliance. Participants plan a realistic data platform or ERP data migration programme during the course and present it to a panel. They leave with a roadmap, a risk register and a team operating model ready for adaptation.
Training Objectives
By the end of the course, participants will be able to:
- Evaluate data architecture options across databases, warehouses, lakes and cloud services.
- Interpret data models and write basic SQL to examine data quality and performance.
- Specify and review ETL and ELT pipelines, including orchestration and monitoring.
- Plan backup, recovery, high availability and security controls for critical databases.
- Manage ERP master data and design migration, cutover and reconciliation plans.
- Design integration approaches between ERP, operational systems and analytics platforms.
- Establish data quality, governance and service level frameworks.
- Organise, budget and lead data engineering and database teams.
What you'll learn
Key Takeaways
Participants leave the course with:
- A target data architecture sketch for their organisation.
- A pipeline review checklist covering reliability, lineage and monitoring.
- A disaster recovery and backup test plan for key databases.
- An ERP data migration plan with cleansing and reconciliation steps.
- A data service catalogue with proposed service levels and metrics.
- A team structure, skills matrix and 12-month roadmap with budget assumptions.
Training Methodology
The programme balances technical understanding with management practice. Participants take part in:
- Hands-on SQL and data profiling labs on sample databases
- Architecture and pipeline review clinics using realistic designs
- ERP migration workshops with mapping and reconciliation templates
- Case studies on incidents, platform decisions and vendor selection
- A capstone roadmap presented to a facilitator panel
Day 1: Data Management Landscape and Strategy
- The data value chain from source systems to decisions
- Roles in data teams: engineers, administrators, analysts and architects
- Aligning data strategy with business and digital strategy
- Frameworks: DAMA-DMBOK and maturity models
- Current-state assessment of participants' own environments
- Exercise: building a data capability map
Day 2: Data Modeling and Relational Databases
- Conceptual, logical and physical models
- Normalisation and dimensional modelling
- SQL for managers: joins, aggregates and data checks
- Indexing, query performance and capacity planning
- Choosing between relational, document, key-value and graph stores
- Lab: querying and profiling a sample database
Day 3: Database Operations, Security and Resilience
- Database administration responsibilities and tooling
- Backup, restore, replication and high availability
- Disaster recovery objectives: RTO and RPO
- Access control, encryption, masking and audit logging
- Patching, upgrades and change control
- Exercise: designing a recovery test
Day 4: Pipelines, ETL and ELT
- Batch and streaming ingestion patterns
- ETL and ELT design, staging and incremental loads
- Orchestration, scheduling and dependency management
- Error handling, retries and data lineage
- Tooling options: open source and commercial
- Lab: reviewing a pipeline for failure points
Day 5: Warehouses, Lakes and Cloud Data Platforms
- Data warehouse, data lake and lakehouse architectures
- Cloud storage, compute separation and cost management
- Data marts and semantic layers for reporting
- Platform selection and vendor evaluation
- FinOps basics for data workloads
- Case study: platform migration decision
Day 6: ERP Data Foundations
- ERP data domains: finance, procurement, inventory, sales and HR
- Master data versus transactional data
- Table structures and key objects in SAP and Oracle environments
- Master data governance and ownership
- Chart of accounts, material and vendor master design
- Exercise: master data standards workshop
Day 7: Data Migration and Cutover
- Migration strategy: big bang versus phased
- Extraction, mapping, transformation and load design
- Data cleansing, deduplication and enrichment
- Reconciliation, test cycles and sign-off
- Cutover planning, rollback and hypercare
- Lab: building a mapping and reconciliation template
Day 8: Integration and Data Quality
- Integration patterns: APIs, middleware, file transfer and events
- Linking ERP to analytics, e-commerce and banking systems
- Data quality rules, scorecards and issue management
- Master data management tools and stewardship
- Monitoring, alerting and observability
- Exercise: designing an interface specification
Day 9: Governance, Compliance and Service Management
- Data governance operating model and policies
- Privacy, retention and regulatory obligations
- Service levels, incident and problem management
- DevOps and DataOps practices
- Metrics for data platform performance and value
- Case study: managing a major data incident
Day 10: Leading the Data Function and Delivering the Roadmap
- Organising teams, skills and career paths
- Budgeting, business cases and vendor contracts
- Managing stakeholders and prioritising requests
- Risk register and benefit tracking for data programmes
- Roadmap presentations to a review panel
- Action plan and course review
The course is directed at managers and senior practitioners responsible for data platforms and enterprise systems, including:
- Heads of data engineering, data platforms and analytics
- IT managers and chief information officers' deputies
- Database administrators moving into leadership roles
- ERP programme and project managers
- Solution and enterprise architects
- Business intelligence and reporting managers
- Finance and supply chain systems owners
- Public sector ICT directors and digital transformation leads
- IT audit and risk managers reviewing data environments
Participants who attend the ten-day programme and complete the labs and the capstone roadmap are awarded a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
Choose Where You Want to Learn
Management of 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 Management of Data Engineering, Databases & ERP Data Training Course
Everything you need to know about this course before you register.
By the end of the Management of Data Engineering, Databases & ERP Data programme, you'll be able to evaluate data architecture options across databases, warehouses, lakes and cloud services, interpret data models and write basic sql to examine data quality and performance, specify and review etl and elt pipelines, including orchestration and monitoring, and plan backup, recovery, high availability and security controls for critical databases. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is directed at managers and senior practitioners responsible for data platforms and enterprise systems, including: Heads of data engineering, data platforms and analytics, IT managers and chief information officers' deputies, Database administrators moving into leadership roles, ERP programme and project managers, Solution and enterprise architects, Business intelligence and reporting managers, Finance and supply chain systems owners, Public sector ICT directors and digital transformation leads, and IT audit and risk managers reviewing data environments.
Management of 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.
Management of 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 Management of 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 Management of 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.
Management of 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 Management of 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 — Management of 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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