DE Copilot extracts transformation logic from Informatica PowerCenter XML exports, normalizes it into the Canonical Metadata Model, identifies migration risk, and generates modern Snowflake SQL, dbt models, or PySpark equivalents.
From legacy XML export to governed modern artifacts — with migration risk analysis at every step.
Upload Informatica PowerCenter XML exports. DE Copilot parses source and target definitions, transformation logic, mappings, sessions, and workflow metadata.
Extracted transformation logic is normalized into the Canonical Metadata Model — a structured, validated foundation that makes legacy logic portable and auditable.
AI identifies complex transformations, undocumented logic, missing source definitions, datatype mismatches, and patterns that require SME review before migration.
Migration risk findings enter a structured review workflow. Engineers validate transformation intent, annotate decisions, and approve before modern artifacts are generated.
Generate Snowflake SQL, dbt models, or PySpark equivalents from the validated, reviewed metadata. Artifacts are traceable back to the original Informatica logic.
Export the full migration package: modern SQL, DDL, data dictionary, DQ rules, lineage documentation, and an audit trail of every migration decision.
Informatica XML contains transformation logic that is not documented anywhere else — when it is lost in migration, it cannot be recovered.
Manual migration of Informatica mappings to SQL is slow, error-prone, and produces inconsistent results across engineers.
Migration risk is invisible without systematic analysis — complex transformations, undocumented joins, and missing source definitions are discovered in production.
DE Copilot treats Informatica XML as metadata, not legacy code — extracting, normalizing, and governing it before any modern artifact is generated.