Loops makes data transformations approachable inside your existing stacks, with Loops handling mapping, validation, and routing
The Loops driven approach ensures consistency across transformation steps and keeps complex logic maintainable
- Access controls protect sensitive fields while Loops processes data
- Audit trails through Loops capture every transformation step
- Dependency management ensures transform stages run in the correct order
Use cases
Intro to data shaping and enrichment using Loops
- Receive data, transform fields, and route to a downstream service using Loops
- Validate schema and enrich records with Loops before storage
- Normalize terminologies with Loops to unify sources
- Apply business rules and compute derived metrics inside Loops
- Flag anomalies and trigger alerts via Loops
- Aggregate data batches with controlled throughput using Loops