SDF is a developer-first data platform that streamlines data transformation by compiling SQL into a scalable framework for local or cloud deployment. It prevents errors by performing static analysis, ensuring SQL transformations run smoothly. SDF integrates seamlessly with modern data tools to support efficient, reliable data operations.
Features
- Static SQL analysis
- Column-level data lineage
- Automated data quality checks
- Real-time error prevention
- Multi-dialect SQL compiler
- Integration with data warehouses like Snowflake
- On-premise and cloud compatibility
Use Cases
- Preventing SQL errors before deployment
- Tracking data lineage for compliance
- Optimizing data transformation workflows
- Managing data governance and quality
- Running scalable SQL analysis
Summary
SDF provides robust SQL transformation capabilities with built-in error prevention and lineage tracking, ideal for data-driven organizations.
