Collaborative Data Science
Graphical Workflow Interface
Expandable AI/ML Access
Motivation
- Data science is labor-intensive and particularly challenging for non-IT users applying AI/ML.
- Many workflow-based data science platforms lack parallelism, limiting their ability to handle big datasets.
- Cloud services and technologies have advanced significantly over the past decade, enabling powerful browser-based interfaces supported by high-speed networks.
- Existing data science platforms offer limited interaction during long-running jobs, making them difficult to manage after execution begins.
Goals
- Provide data science as cloud services;
- Provide a browser-based GUI to form a workflow without writing code;
- Allow non-IT people to access data science;
- Support collaborative data science;
- Allow users to interact with the execution of a job;
- Support huge volumes of data efficiently.
Acknowledgements
