Found Description
- Produce field-level mapping between different schemas, including transformation rules, default values, and handling for fields with no equivalent.
- Define data quality and reconciliation rules — what good looks like post-migration, what tolerance is acceptable, and how exceptions are handled.
- Define the initial bulk migration approach (one-shot vs phased, by member cohort, by data domain), volumes, and cutover criteria.
- Define historical data scope — how far back history must be migrated for regulatory, user-experience and actuarial reasons.
- Specify cross-cloud integration model
- Identify every integration point
- Specify the integration pattern per flow (synchronous API, event/stream, batch), latency and throughput requirements, and failure/retry expectations.
- Capture cross-cloud concerns: egress, network topology, authentication/identity federation between AWS and GCP, and any data residency constraints tha...
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