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add/remove collaborators in Transformation Project
Transformation projects has the following problem, it is not possible to restrict access to different projects by users, all users with data enginering role can access all projects. The requested improvement lies in being able to add and remove co...
Show meaningful error messages (when there is no access to platform connections)
Currently notebooks can not be started, when there is a storage volume from platform connections in the project and the user does not have access to platform connection The error message shown is "Notebook could not be loaded", which does not prov...
Allow CPD Admin to list all "Connection" objects and check whether tha connection is using Personal or Shared Credential
CPD allows user to create connection with Personal or Shared credential. By the default, the option is default to Shared Credential. Almost enterprise organization prevent their user to use shared credential, so there is a requirement to allow CPD...
RStudio or Python Runtime environments are automatically restarted when memory limits are reached
RStudio or Python Runtime environments are automatically restarted when memory limits are reached without any information to the data scientist and all results are gone. A better behavior would be if the application RStudio or Jupither/lab would g...
Default RStudio environment definition should be increased to 2 vCPU and 4 GB RAM.
As Data Scientist we are working a lot with RStudio. The default RStudio environment definition (1 vCPU and 1 GB RAM) is too small for RStudio. The limit of 1 GB is quickly reached and the pod is then restarted. And you do not understand what happ...
Oracle thin client connection capabilities requiring specification of URL
We need to connect WKC to Oracle using Oracle Connection Manager using the JDBC thin client. This requires the ability to specify the connection URL with a significant string length. Currently when the Oracle connection type is specified there is ...
Evolve Data Refinement to more advanced capabilities
To make Data Refinement more attractive to Data Scientists, more advanced capabilities should be available, like some of the features available in AutoAI today, but still with the opportunity to build models manually. Like Train/Test Split, Encodi...
Resources are always an issue in Cloud Pak for Data, especially in small environments with only 48 cores. In installations that support “native” Data Science use cases (that is customers, just using Jupyter notebooks in WSL, doing their stuff in P...
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