“Its exceptional data management and feature engineering capabilities make it especially suitable for the most challenging use cases…feature engineering is powerful and scalable, even across tens of tables with billions of rows.”
Features from Relational Data
Process transactional, temporal geo-locational, or text data directly from multi-table structured data. Explore millions of feature patterns by auto-joining multiple tables automatically.
Find Features that Matter
evaluate features with patented supervised learning techniques to avoid temporal leakage, collinearity, overfitting, and more. Auto-cleanse data with value canonicalization, outlier detection, and missing value imputation.
Quantitative & Qualitative Transparency
Understand features through metrics. From basic statistical measures to advanced feature importance scores. Generate feature explanations, blueprints, and queries for full transparency of feature pipeline and lineage.
Production-ready Feature Pipelines
Generate ready-to-deploy feature pipelines and minimize the headache between data science and data engineering teams when productionalizing feature queries.
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