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Beginner developer for DSx
March 30, 2018

Beginner developer for DSx

Dimitrije Glumac | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Data Science Experience (DSx)

It was being used to analyze big data. It was being used in our department for development purposes, and testing its limits and capabilities. The software was still in development when I was working on it, and my job was to create intro level content displaying the different types of services the platform offered.
  • Exploratory data analysis
  • Concurrent project and data management
  • Built-in libraries and frameworks for different programming languages
  • The data limit was low, but it depends on how much you pay
  • Fast analysis
  • Easy to access
  • Data management
I chose DSx because it had a better interface and was more centralized, while allowing team members to work on it as well.
Any data analysis in Python or R is very simple to do with DSx, as the notebooks allow for easy organization of data and testing code. Using notebooks allows code to be run in sections allowing for bug-testing, but also step by step analysis which can be visualized to determine the impact and meaning of the data.