Essidata
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Nationaler Versicherer

Ausstieg aus Legacy-Warehouse

Phasenweise Migration von SQL Server und handgebautem ETL zum Lakehouse mit validierten Cutovers für Schaden- und Policendaten.

Years of SQL Server jobs and hand-built ETL meant the same metrics were calculated three different ways. We staged a lakehouse-shaped target, validated every cutover with reconciliation, and retired legacy servers on a schedule the business trusted.

Unser Ansatz

Wave planning

Claims and policy domains migrated in waves with dual-write windows and explicit exit criteria before widening scope.

Contracts & tests

Schema mapping with data contracts, regression packs, and signed-off parity checks between old and new pipelines.

Cutover discipline

Zero-downtime playbooks, rollback drills, and on-call bridges so operations knew exactly who to call during migration night.

Was wir geliefert haben

Ergebnisse

Repräsentativer Stack

DatabricksDelta LakedbtKafkaAzure Data Factory