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Data engineering
Data migration, governance & processing.
End-to-end data engineering: ingestion, transformation, governance, and quality so analytics and AI stay trustworthy.
Real-world Applications
01
Migrate and model data for analytics
02
Improve data quality, lineage, and governance
03
Unify data sources for AI/ML features
Key Outcomes
- Reliable data pipelines with observability
- Faster time to insights
- Compliance-ready governance and quality