Automatically detect and resolve missing values, duplicates, and outliers.
Standardize formats, units, and terminologies based on predefined business rules.
Reproducible data cleaning powered by codebook-based methodologies.
Augment raw data with additional metadata such as geolocation, timestamps and localizations.
Integrate third-party APIs and datasets for enhanced data quality and contextual relevance.
Apply rules and constraints like range checks, referential integrity, and data type matching.
Real-time feedback loops enable users to review and correct invalid data seamlessly.
Execute schema mapping, joins, aggregations, and more with ease.
Leverage real-time and batch transformations to meet diverse business requirements.
Machine learning suggests transformation pipelines and identifies patterns and anomalies.
Drag-and-drop workflows for intuitive pipeline creation.
Enable collaboration with multi-user support, comments, and tagging.
Visualize programmatic codebooks for reproducible workflows.
Schedule recurring tasks and dynamically adapt to schema changes.
Track and log curation activity for auditability and compliance.
Ensure version control, staging, approvals, and production release through CI/CD pipelines.