Telecommunications · system migration

Migrating legacy data services while enhancing workflows and business rules

Replaced ageing storage and ETL components while improving data workflows, business rules, validation, and production performance.

Delivered engagement
PostgreSQL + SSISreplacement stack
3UAT phases
2legacy components replaced

The challenge

A telecommunications data environment needed to retire ageing components without disrupting established data services. The scope combined system migration with changes to business rules, workflow performance, and operational validation.

Legacy MapR storage and Talend workflows had to be replaced while data distribution, balancing, integrity, and downstream behaviour remained controlled.

What Monic delivered

Monic analysed service distribution and data balancing, decommissioned a MapR node, and rebalanced data across the remaining environment. The team installed PostgreSQL as the replacement storage environment and configured and optimised Microsoft SSIS to replace legacy Talend ETL workflows.

The delivery also covered business-rule enhancement, ETL performance monitoring, validation, three phases of UAT, migration and test documentation, troubleshooting, and post-change support.

The result

The programme delivered a documented transition to PostgreSQL and SSIS, with data integrity and performance assessed through three UAT phases and an operating path for resolving data discrepancies after migration.

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.

Modernisation can cross several layers

Storage, ETL tooling, data distribution, workflow rules, and operational support may need to change together when the legacy components are tightly connected.

UAT is cumulative evidence

Multiple UAT phases provide structured opportunities to compare data integrity, business behaviour, and performance as the target environment stabilises.

Post-migration discrepancies need a path

Documentation, troubleshooting procedures, and named support responsibilities keep data issues actionable after the technical transition is complete.