IBM DSx Experience
January 30, 2018
IBM DSx Experience
Score 6 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM Data Science Experience (DSx)
DSx was used as a test environment in my organization for applying advanced analytical techniques like machine learning, parallel processing etc. It was used by the analytics department solely and not across the whole organization.
- I particularly like working on R for ML problems. DSx provides both Jupyter notebook and R studio interfaces for doing the same. Which is fantastic in terms of flexibility and applicability.
- There are multiple used cases explained in the community section so that one can learn and apply the knowledge at the same time.
- Ease of navigation was of a fantastic magnitude using the easy drop down menus.
- Apache spark connection to R Studio tool keeps on disconnecting. Lot of room for improvement there. A stable connection helps the user have a good experience.
- Many ML functionalities under H2O package in R don't seem to work in the Apache Spark environment.
- If a documentation could be provided regarding ML using Apache Spark in R that would be really helpful.
- Knowledge gaining.
- Alternative environment exploration.
- Exposure handling.