Overall Satisfaction with Anaconda
As part of an overall strategic assessment, we decided to test the possibilities of several data lakes by conducting a collection of data science experiments. Anaconda was instrumental to get the data science experiments up and running in record time, including testing different data analysis packages, generation of notebooks, and the sharing of the results to a larger team.
- Integration of the most popular and useful Python packages
- Managing multiple execution environments
- Management of package dependencies
- Easier migration to cloud sharing
- Extremely quick turnaround time to set up data science experiments
- Reduction of troubleshooting time when deploying new packages and dependencies
- Low risk environment due to the community edition