Enterprise data platform
Modernising a large-scale data platform for production migration
A controlled migration of hundreds of ETL workloads and enterprise data assets from a legacy data lake to HPE Data Fabric Software.
Delivered engagementThe challenge
A large enterprise data estate needed to move from a legacy data lake to HPE Data Fabric Software while preserving the behaviour, schedules, dependencies, and outputs of hundreds of production workloads.
The scale made manual conversion and informal validation unsuitable. The programme needed workload inventory, target architecture, migration waves, repeatable reconciliation, and a production-readiness path.
What Monic delivered
Monic delivered target architecture, workload migration, ETL conversion, data validation, performance engineering, test coordination, documentation, and production cutover.
The engagement covered more than 500 ETL workloads, more than 500 tables, and a data estate of approximately 100 TB.
The outcome
The programme completed production go-live on HPE Data Fabric Software, with migrated workloads, repeatable validation, documented operating procedures, and a clear support path.
What this case demonstrates
The engineering lessons behind the result.
These are the delivery patterns a team facing a similar operating problem should plan for.
Migration governance at scale
Hundreds of workloads need an explicit inventory, dependency map, conversion pattern, owner, and acceptance path. The programme cannot be managed as a collection of isolated code changes.
Validation must be repeatable
Source-to-target comparisons, business-rule checks, and visible discrepancies are required when manual review cannot cover the volume or complexity of the estate.
Go-live is an operating decision
Performance, monitoring, test coordination, documentation, cutover, rollback, and support ownership belong in the migration design rather than being deferred until the final week.