Data Engineering and Architecture · Physical, Online
Data Migration & Legacy Platform Modernisation Training Workshop
10 Days4 sessions available Certificate on completion
Data Migration & Legacy Platform Modernisation Training Workshop is a practical programme designed to equip IT, data and technology professionals with the knowledge and practical skills required to assess, migrate, modernise and transform legacy data platforms and enterprise applications.
The workshop covers the complete modernisation lifecycle, from legacy-system discovery and assessment to migration strategy, data profiling, cleansing, schema conversion, migration execution, validation, application modernisation, cloud adoption, integration, testing, cutover and legacy-system decommissioning.
Course objectives
Assess legacy applications, databases and infrastructure to identify dependencies, risks, technical constraints, business value and modernisation opportunities.
Execute and validate database and data migrations using modern migration, replication, ETL/ELT and Change Data Capture technologies.
Develop data migration strategies and plans covering migration approaches, source-to-target mapping, data profiling, cleansing, transformation, migration waves, testing and cutover.
Apply modernisation approaches including rehosting, replatforming, refactoring, containerisation, managed databases, API integration, microservices and cloud-native architectures.
Design controlled modernisation programmes incorporating security, governance, data quality, business continuity, rollback, monitoring, cost optimisation and legacy-system decommissioning.
Who should attend
Data Engineers, Data Architects, Data Migration Specialists, Database Administrators, Database Developers, Cloud Engineers, Cloud Architects, Solutions Architects, Enterprise Architects, Application Developers, Software Engineers, DevOps Engineers, Data Platform Engineers, Data Analysts, Business Intelligence Professionals, Data Scientists, IT Managers, ICT Managers, Technology Managers, Digital Transformation Professionals, Enterprise Application Managers, System Administrators, Infrastructure Engineers, Project Managers, IT Consultants, Business Analysts, Data Governance Professionals, and professionals responsible for legacy-system replacement, database migration or enterprise technology modernisation.
3. Data Discovery, Profiling & Migration Readiness Source-data assessment, data profiling, data volumes, data quality, duplicate records, missing values, data types, data dependencies, sensitive information, data ownership, migration complexity and readi
4. Migration Strategy & the Modernisation Decision Framework Rehost, replatform, refactor, repurchase, retain and retire, workload prioritisation, business case development, cost-benefit analysis, technical feasibility, risk assessment, migration waves a
9. Legacy Application Modernisation & Refactoring Monolithic applications, modularisation, application refactoring, API enablement, microservices, containerisation, serverless concepts, application decomposition, business-logic migration and modern appli
10. Data Integration, APIs & Modern Enterprise Platforms REST APIs, enterprise integration, middleware, event-driven integration, Kafka concepts, API gateways, application-to-application integration, modern data platforms, data lakes, lakehouses and inte
11. Data Quality, Governance, Security & Compliance Migration data quality, reconciliation, data ownership, metadata, lineage, classification, privacy, access control, encryption, audit trails, regulatory requirements and governance throughout the migrat
12. Migration Testing, Validation & Performance Engineering Migration test plans, functional testing, data validation, record counts, checksums, reconciliation, application testing, performance benchmarking, load testing, user acceptance testing, defect
13. Cutover, Business Continuity & Rollback Planning Migration rehearsals, cutover planning, downtime management, parallel running, go-live readiness, rollback strategies, disaster recovery, backup and restore, business continuity, stakeholder communicat
The programme places particular emphasis on database and data migration, including heterogeneous database migrations, schema conversion, data mapping, transformation, incremental migration, Change Data Capture (CDC), data reconciliation and migration validation. Modern migration guidance emphasises the importance of understanding source and target schemas, data types, dependencies, performance and validation before production migration.
Participants also examine how legacy platforms can be transformed through cloud migration, managed databases, containerisation, API integration, microservices, modern analytics platforms, automation, DevOps and AI-enabled modernisation. Modernisation does not necessarily require a single approach; organisations can combine different pathways according to workload requirements and business priorities.
The workshop is suitable for organisations seeking to replace ageing databases, migrate on-premises systems to cloud platforms, consolidate fragmented applications, reduce legacy technology risks, improve scalability and performance, modernise enterprise data platforms, and establish foundations for analytics, AI and digital transformation.
Recommended Technology Stack Microsoft SQL Server, PostgreSQL, MySQL, Oracle, Azure, Microsoft Fabric, Azure Database Migration Service, AWS Database Migration Service, AWS, Google Cloud, Azure Data Factory, Databricks, Apache Spark, PySpark, Kafka, Debezium, Docker, Kubernetes, REST APIs, Python, SQL, PowerShell, Git/GitHub, Terraform concepts, cloud storage, data lakes, lakehouses, Power BI, monitoring/observability platforms and database migration/schema-conversion tools.
Frequently asked questions
The workshop is designed for data engineers, database administrators, data architects, cloud engineers, software developers, enterprise architects, IT managers, ICT professionals, DevOps engineers, system administrators, application managers, digital transformation professionals and technology consultants involved in legacy-system replacement, database migration, cloud adoption or enterprise modernisation.
Participants learn how to assess legacy platforms, develop migration strategies, profile and cleanse data, map source and target systems, migrate databases, implement ETL/ELT and CDC pipelines, modernise applications, perform migration testing, plan cutover and decommission legacy platforms. The workshop covers the complete migration and modernisation lifecycle.
Yes. Participants explore strategies including rehost, replatform, refactor, repurchase, relocate, retain and retire, and learn how to select an appropriate strategy based on business requirements, technical complexity, dependencies, cost, risk and future platform requirements.
The programme covers data profiling, cleansing, transformation, source-to-target mapping, reconciliation, validation, backup, testing, CDC, rollback and cutover planning. Participants learn how to compare source and target data and establish automated validation procedures to detect migration
Yes. The workshop is hands-on and project-oriented, with practical exercises covering database migration, data transformation, cloud migration, migration planning, validation, modernisation assessment and cutover. Participants can develop practical deliverables such as a Migration Strategy, Data Migration Plan, Source-to-Target Mapping, Migration Testing Plan, Cutover Plan and Enterprise Legacy Modernisation Roadmap.