One Platform for the Entire AI Lifecycle
  Ingestion & Preparation
- Scalable batch & streaming ingestion
- Visual data flow editing and provenance
- Monitor feed health in real time
- Search metadata, lineage & stats
Discovery & Visualization
- Full-text, faceted & geospatial search
- Real-time, drag & drop dashboards
- Interactive time series analysis
- Dataset ingestion & governance
- Build, share & annotate dashboards
 Modeling & Experimentation
- Machine Learning & Data Mining
- Train & debug on CPU’s & GPU’s
- Natural Language Understanding
- Performant machine learning at scale
 Model Productization
- Auto-test & deploy machine learning
- Reusable & versioned model store
- PyTorch, TensorFlow, R, Spark, Scikit
- Security, logging & rate limiting
 Operations
- Portal & Single Sign on
- Container Orchestration
- Live Monitoring
- Authentication, Authorization, Audit
Visualization options that can be created in SQL Analytics.
Explore data via free text search, then shape your data via charts, tables, maps, and dashboards.
An example of using Spark NLP’s Named Entity Recognition (NER) OCR algorithm and aggregating the results across multiple TCGA oncology reports.
An interactive environment for dealing with relational databases.
Alerting channels available for system admins of the platform.
Admins can manage the state of the system interactively from the same portal.
Admins can measure metrics flowing in from the cluster manager and set alerts.
Manage users, roles, and group permissions as well as authentication flows for applications.
