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 and its suitability for Snowflake's architecture..

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 Snowflake's cloud environment in the subsequent rendering step.

Snowflake-compatible SQL queries are generated, leveraging Snowflake's unique features. Our process ensures accurate dialect translation and optimization for Snowflake's architecture..

During this stage, all rendered artifacts are verified to function correctly and that data entities align precisely with those in the Snowflake environment. 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 Snowflake 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.