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IBM Data and AI Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


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We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:


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Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

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IBM Employees should enter Ideas at https://ideas.ibm.com


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DataStage

Showing 492

job comparison between different environments (like in 11.7)

Currently in 11.7 - there is an option to compare the jobs between different environments. It helps to identify what actually changed comparing to the production copy and helps for UAT. The same options is missing in CP4D.
3 months ago in DataStage 0 Planned for future release

Add the option for a columns with changed values column to the Change Capture stage

Currently the Change Capture stage will give you the information (in the Column change_code) if your After Data is a Copy (0), Insert (1), Delete (2) or Edit (3), it would be good to have the option to generate an addition column change_columns (V...
5 months ago in DataStage 0 Submitted

Improve the functionality of the Join stage

Currently when doing a join in DataStage and tyring to achieve the same as e.g. a between in a SQL join, you either have to use the Lookup stage (which has other limitations, is not well documented (according to documentation, the Lookup stage doe...
5 months ago in DataStage 0 Submitted

failed logins in auditlog

In the audit logs (WAS_install_path/profiles/InfoSphere/logs) there is no information on failed logins. This information is only logged in the WAS SystemOut.log as Authentication failed.It would be important to have this audit-critical information...
10 months ago in DataStage 0 Under review

Include "Drop unmatched fields" option in the Generic jdbc and Database stages using jdbc

Currently we use the property "Drop unmatched fields" in our jobs to run any SQL's in our database stages which has hard coded values, the option is present in generic odbc and in the native database stages which enables us to use the hard coded S...
about 2 months ago in DataStage 0 Under review

Have the possibility to control the time range for the DSODB Dashboard.

Currently, we do not have any variable that can be set to control the DSODB Dashboard time range. The only existing way, is to manually update the value (3 times for the dashboard...), and this modification is only persisting for the session's coo...
about 1 year ago in DataStage 0 Not under consideration

Avoiding conflicts for multiple users working at the same time on a DataStage flow

With the web interface, two (or more) users can now work in parallel on the same flow. And the last one saving will overwrite all the work done by the others. It would be good to have a mechanism to prevent multiple people working at the same time...
about 1 year ago in DataStage 0 Not under consideration

Orchestration Pipeline to be compatible with OpenShift Pipeline

The client has deployed cluster-wide OpenShift Pipeline for any automation/configuration work that could be used. This in turn has failed Orchestration Pipeline to successfully deploy its jobs as they fail due to using OpenShift Pipeline service a...
2 months ago in DataStage 0 Under review

Difficult reading of stage transformer in CP4D

Stage Variables: It is challenging to view all stage variables simultaneously and discern their interrelationships. Additionally, it is not possible to identify the types of fields in use. Output Derivation: The box for adding field derivations is...
12 months ago in DataStage 0 Not under consideration

HA functionality for Datastage Cartridge

Background •In general, the best practice to ensure high availability for OpenShift cluster is to spread the masters and workers across three AZ’s in a cloud. But for DataStage, it only makes sense if the platform allows multiple conductors spread...
4 months ago in DataStage 0 Submitted