Data Exploration

Access up-to-date data from a unified data model across the organization. Loaded and virtualized data sources are available without writing complex joins, regardless of the persistence technology.
Quickly access and explore raw data files uploaded to a Notebook or file system like Azure Blob storage, AWS S3, or on-premise SSD.
Use pre-build no-code interfaces for viewing data, or code your own visualizations and data quality checks, productize your work as a reusable API that the whole team can access from Jupyter or any client.

Visualizations

Identify patterns and trends by visualizing data in tables and charts.
Generate insights by profiling data with histograms, identifying relationships with correlation matrices, and looking at scatter plots, line charts, bar charts, and area charts.

Jupyter

Use Jupyter Notebook to view data stored in a unified data model.
Easily fetch instances of a BHC3 Type, and view as tables in a notebook.
Readily visualize and plot time series data.
Use your favorite libraries to visualize and explore data.

Datasets

Accelerate machine learning prototyping through high- performance, distributed, and in-memory exploration of large datasets from enterprise data sources.
Auto-record selective data science experimentation steps and metadata for seamless AI application development and deployment.
Enhance loading, organizing and profiling for unstructured and mixed data including images and text.

Datasets screen-shot