The Data catalog is the starting point of your project journey. An automated data quality profiling makes exploratory data analysis 10 easier and faster, with visualizations and interactions.
Data profiling creates standards and data quality foundations for both projects and organizations. Data Profiling is an essential step for AI success.
✓ Use no-code Connectors to consume data from any source
✓ Create several data sources per project per connector
✓ Automatically generate a profile overview
✓ Quickly consume your profiling inside Jupyter Notebook or VSCode so you can automate your data preparation strategy
✓ Integrate data profiling at any stage of your development to validate the quality and potential data drifts
Start your successful AI adoption with the right foundations: data profiling!