DYNAMIC VISUAL PROFILING AND VISUALIZATION OF HIGH VOLUME DATASETS AND REAL-TIME SMART SAMPLING AND STATISTICAL PROFILING OF EXTREMELY LARGE DATASETS

The present disclosure relates generally to a data enrichment service that automatically profiles data sets and provides visualizations of the profiles using a visual-interactive model within a client application (such as a web browser or mobile app). The visual profiling can be refined through end user interaction with the visualization objects and guide exploratory data visualization and discovery. Additionally, data sampling of heterogeneous data streams can be performed during ingestion to extract statistical attributes from multi-columnar data (e.g., standard deviation, median, mode, correlation coefficient, histogram, etc.). Data sampling can continue in real-time as data sources are updated.