Our assessment process identifies all data sources, data targets, lookup entities, transformations, and expression types, producing a detailed report that classifies the complexity of each pipeline.

Rewire passive transformations into a streamlined, linear flow and transform all blocks into our proprietary, target-agnostic format. This ensures that pipelines are ready to be optimized for any cloud environment in the subsequent rendering step.

dbt models are generated, ensuring accurate dialect translation and optimization.

During this stage, all rendered artifacts are verified to function correctly and that data entities align precisely with those in the target database. Using automated comparison tools, the new pipelines are regression tested to ensure a full match with the legacy system.

Rendered artifacts are executed in the cloud platform. A detailed comparison is conducted of the target data entities with those from the legacy pipelines. This final verification ensures that the migration not only aligns perfectly with operational requirements but also maintains data integrity.