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Clients have storage array that support internal S3 Object Storage Bucket type connection. These can be from various vendors.Such connections will be using generic S3 protocol to establish connectivity to Storage Bucket. However, currently CPD onl...
Writeback to object storage and databases through data virtualization layer
Real-Life ScenarioIn our Data Lake, we want to expose all of our data sources (structured and unstructured) to our customers in an unified data virtualization layer.In one use case, we want to train an AI algorithm on the data and flag those files...
CP4D handling of users which are no longer authorized
If a Cloud Pak for Data user is no longer able to logon (removed from a AD group that is mapped to CPD group) then the user record in "Access control" should be marked as deleted. It should no longer be possible to authorize this user to any CPD s...
The Refinery's data preview UI and the Default Catalog's data preview UI are similar, but the Refinery's UI can't see the catalog information for an item.We want CP4D to be able to refer to the catalog information of items from the Refinery data p...
A request for the Cognos Dashboards to expand its support resources.
We want the Cognos Dashboards to support the following types of connection data: DB2(LUW) connection : SSL connection and SHA256 password encription Amazon RDS for PostgreSQL : SSL connection and SHA256 password encriptionAmazon S3 : CSV file
Ability to determine through Monitoring whether or not sufficient resources to start an R or Notebook runtime environment are available per node
As Data Scientist I frequently need to start runtime environments. Often these are small enough and they quite naturally fit the available resources. Sometimes however, there is a very large environment needed. We would like to easily see and det...
Python packages installed by the Data Scientist are not persistently stored in the WSUSER home directory like in RStudio
When a runtime environment is stopped, the installed Python packages are also deleted. And you have to install the packages again when starting the runtime environment or after starting by Python program. This can take a long time for some package...
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...
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