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- Scalable & extensible computing & storage with programming from browsers or Windows/Linux
- Flexible for languages (R, Python, Julia) & dev tools (Jupyter, RStudio, SAS Studio, and others)
- Customizable app launcher UI, and readiness to integrate with a variety of data sources
- Analysis and Data Science-specific workflows with model, tool, & analysis operations monitoring
- 100% reproducibility of analyses over time using automated containerization
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