Live Online Strategy and Innovation in Data Engineering, Databases & ERP Data Training Course
Live online, instructor-led · next cohort Nov 2, 2026 · from USD 1,700
Data investments often stall because platforms are chosen before strategy is clear. ERP systems hold the most valuable transactions in the business, yet finance, supply chain and HR still reconcile spreadsheets by hand, and analytics teams wait weeks for extracts. A deliberate data engineering strategy links architecture choices to measurable business outcomes and keeps innovation from creating more silos.
Over ten days you build that strategy and the skills behind it. Early sessions cover data strategy, operating models, architecture patterns, relational and NoSQL database design, modelling, SQL optimisation and master data. Middle sessions cover ETL and ELT pipelines, orchestration with Airflow, dbt, Spark, change data capture and Kafka streaming, plus ERP data extraction from SAP, Oracle and Dynamics. Later days cover lakehouse and warehouse design, data quality, lineage, governance, cloud cost control and innovation methods, finishing with an integrated platform project. Data engineers, database administrators, ERP and BI leads, data architects, IT managers and heads of data in banks, telecoms, manufacturing and government will benefit. Classroom, online and in-house formats are available, with a CPD-accredited certificate. Afterwards you can present a costed data roadmap and run pilots that deliver trusted data to decision makers.
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
Every organisation wants faster, more trusted information, but the path from transactional systems to dependable insight is crowded with technical choices. Warehouses, lakes, streaming tools and vendor-specific ERP reporting layers overlap, and without a clear strategy teams build duplicate pipelines, argue about definitions and carry growing platform costs. Leaders need both the vision to prioritise and the engineering fluency to judge what is feasible.
This advanced programme joins strategic planning with applied engineering. In the first half, participants examine data strategy and operating models, then work through database design, query performance, data modelling for analytics and the structure of ERP data in common platforms. The second half moves to modern practices: building and orchestrating batch and streaming pipelines, designing lakehouse and warehouse layers, applying quality tests and lineage, and setting governance that supports self-service without losing control. Innovation sessions show how to scope pilots, evaluate new technologies, treat datasets as products and track value.
Participants spend much of each day in labs with sample ERP, operational and event data. They compare architecture options, build working pipelines, and develop a strategy document with roadmap, team structure and business case that they can put before senior management on return.
Training Objectives
By the end of the course, participants will be able to:
- Develop a data engineering strategy and roadmap tied to business priorities.
- Compare architecture patterns such as warehouse, lake, lakehouse and data mesh and select suitably.
- Design and tune relational and NoSQL databases for transactional and analytical workloads.
- Extract, model and reconcile ERP data from finance, procurement, inventory and HR modules.
- Build and orchestrate batch and streaming pipelines with testing and monitoring.
- Implement data quality rules, lineage, master data and access governance.
- Manage cloud platform cost and performance.
- Plan and evaluate innovation pilots and data products.
What you'll learn
Key Takeaways
Participants leave the course with:
- A draft data engineering strategy and three-year roadmap.
- A reference architecture for their organisation's data platform.
- Working pipeline code and tests built in the labs.
- An ERP data extraction and reconciliation approach.
- A data quality and governance rulebook template.
- An innovation pilot canvas with success measures.
- A business case outline for platform investment.
Training Methodology
The programme balances decision-level discussion with extensive technical practice. Participants will experience:
- Architecture workshops comparing options against realistic constraints
- Daily labs on SQL, pipeline tools and sample ERP and event data
- Code and design reviews that build habits of testing and documentation
- Case discussions of platform migrations and what went wrong
- A final project presented to a mock steering committee
Day 1: Data Strategy and Operating Models
- Linking data strategy to corporate strategy and value
- Assessing current data maturity and pain points
- Centralised, federated and mesh operating models
- Roles in a data function: engineer, architect, steward, owner
- Prioritising use cases by value and feasibility
- Exercise: a data maturity assessment
Day 2: Database Design and Performance
- Relational design, normalisation and constraints
- Indexing, execution plans and SQL optimisation
- NoSQL families and when to use them
- Transactional versus analytical workloads
- Backup, recovery and high availability planning
- Lab: tuning slow queries
Day 3: Data Modelling and Master Data
- Dimensional modelling, star schemas and slowly changing dimensions
- Data vault and wide-table approaches
- Master and reference data management
- Canonical definitions and a business glossary
- Modelling for self-service analytics
- Lab: building a dimensional model from transactions
Day 4: ERP Data Structures
- Core tables and objects in SAP, Oracle and Dynamics
- Finance, procurement, inventory and HR data flows
- Extraction methods: APIs, views, change tracking and connectors
- Data migration and legacy system integration
- Reconciling ERP data to the general ledger
- Lab: extracting and validating ERP sample data
Day 5: Pipelines and Orchestration
- ETL versus ELT and pipeline design patterns
- Orchestration with Airflow and scheduling dependencies
- Transformation with SQL and dbt
- Idempotency, retries and error handling
- Testing and monitoring data pipelines
- Lab: building an orchestrated pipeline
Day 6: Cloud, Lake and Lakehouse Architecture
- Cloud warehouse and object storage options
- Bronze, silver and gold layers in a lakehouse
- Open table formats and file layouts
- Spark for large-scale processing
- Cost control, partitioning and performance tuning
- Lab: designing and loading a layered lakehouse
Day 7: Streaming and Real-Time Data
- Event-driven architecture and message brokers
- Change data capture from operational databases
- Kafka concepts: topics, partitions and consumers
- Stream processing and windowing
- Serving real-time data to dashboards and applications
- Lab: a streaming ingestion pipeline
Day 8: Data Quality, Lineage and Governance
- Defining and measuring data quality dimensions
- Automated tests and anomaly alerts
- Lineage, catalogues and metadata management
- Access control, masking and compliance requirements
- Stewardship processes and issue resolution
- Lab: implementing quality rules and lineage
Day 9: Innovation and Data Products
- Scoping innovation pilots and success criteria
- Evaluating new tools and avoiding vendor lock-in
- Treating datasets as products with owners and service levels
- Enabling machine learning and analytics teams
- Measuring value from data investments
- Workshop: pilot canvas for a data product
Day 10: Integrated Platform Project and Roadmap
- Combining strategy, architecture and pipeline design in one proposal
- Skills, team structure and delivery approach
- Budget, business case and risk register
- Roadmap sequencing and quick wins
- Group presentations to a mock steering committee
- Feedback and course review
The course is intended for technical leaders and senior practitioners, including:
- Data engineers and analytics engineers moving into lead roles
- Database administrators and architects
- ERP functional and technical consultants
- Business intelligence and reporting managers
- Heads of data, IT directors and chief information officers
- Enterprise and solution architects
- Digital transformation managers in banks, telecoms and manufacturing
- Government ICT and e-services leads
Participants who attend the programme and complete the labs and final project receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
The certificate records both the technical practice and the strategic planning work completed over the ten days.
Choose Where You Want to Learn
Strategy and Innovation in 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 Strategy and Innovation in Data Engineering, Databases & ERP Data Training Course
Everything you need to know about this course before you register.
By the end of the Strategy and Innovation in Data Engineering, Databases & ERP Data programme, you'll be able to develop a data engineering strategy and roadmap tied to business priorities, compare architecture patterns such as warehouse, lake, lakehouse and data mesh and select suitably, design and tune relational and nosql databases for transactional and analytical workloads, and extract, model and reconcile erp data from finance, procurement, inventory and hr modules. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is intended for technical leaders and senior practitioners, including: Data engineers and analytics engineers moving into lead roles, Database administrators and architects, ERP functional and technical consultants, Business intelligence and reporting managers, Heads of data, IT directors and chief information officers, Enterprise and solution architects, Digital transformation managers in banks, telecoms and manufacturing, and Government ICT and e-services leads.
Strategy and Innovation 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.
Strategy and Innovation in 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 Strategy and Innovation in 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 Strategy and Innovation 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.
Strategy and Innovation 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.
Fees for Strategy and Innovation in 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 — Strategy and Innovation in 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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What Our Clients Say
VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.
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