IBM Data Science Experience is IBM's on-premise collaboration platform for data scientists. It allows data scientist to create, work and share notebooks written in R, Python or Scala. IBM Data Science Experience was launched in September 2016 and was embedded as a core element within IBM's Watson Data Platform. The notebooks are based on Jupyter Open-Source software and can thus be managed in an on-premise environment.
The vision of Data Science Experience is to create a common platform within (and beyond) an organization where all analysts and data-scientist work together in cracking analytical issues. It goes by the slogan: create, learn, collaborate.
- Ability to deploy a job on a Apache Spark cluster within IBM Cloud: this allows to leverage Data Science Experience not only as a development interface but similarly to use it as a deployment environment where scripts can run 'on scale'.
- Ability to share data within the community and thus to similarly use public data-sources within your data projects (e.g. weather data, economic data, etc.)
- Access to relevant news and articles related to data science.
- Ability to schedule jobs to daily run e.g. product recommendation scripts
- Ability to bookmark articles and notebooks within the community