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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Specific links you will want to bookmark for future use
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.
IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.
ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.
IBM Employees should enter Ideas at https://ideas.ibm.com
PDC copying from RFE:
PMR: 37191,228,631
Country:Brazil
Description: Optim TDM can extract data and objects , but PostgreSQL there is a restriction today, only data. The request is provide PostgreSQL object extraction. Is there a big issue to implement it? Is possible to be included in the next realease?
Use case: There are 3 options to extract by Optim TDM: 1. Objects and Data 2. Data 3. Objects Only option number 2 (data) works using PostgreSQL Thus, to create new testing environments would need to manually create all the tables contained in the database, whose data were extracted. A customer requeriments is data and objects must be able to extract, because there are about 300 PostgreSQL databases in production that will feed the non-production environment. Another interesting point is that the customer intends to use Optim TDM to automate the process of creating non-productive environments, because there are constant errors generated by manual intervention. The fix for this item, would avoid the need for manual intervention and possible future errors after the acquisition of the product.