IBM Data & AI

 Welcome to the IBM Data & AI Ideas Portal for Clients! 

We welcome and appreciate your feedback on IBM Data & AI Products to help make them even better than they are today!
Before you submit an idea, please perform a search first as a similar idea may have already been reported in the portal.  If a related idea is not yet listed, please create a new idea and include with it a description which includes expected behavior as well as why having this feature would improve the service and how it would address your use case.
IBM Employees:
Clients:
  • Our team welcomes any feedback  and suggestions you have for improving our offerings / products!  This forum allows us to connect your offering / product improvement ideas with IBM product and engineering teams.
  • If you have not registered on this portal please click on the following link and register.  To complete registration you will need to open the email you will receive from Aha to confirm your identity. http://ibm.biz/IBM-Data-and-AI-Portal-Register
Additional Information:
  • The shorter URL for this site is: https://ibm.biz/IBM-Data-and-AI-Ideas
  • To view our roadmaps: http://ibm.biz/Data-and-AI-Roadmaps
  • Reminder: This is not the place to submit defects or support needs, please use normal support channel for these cases
  • Please do not use the Ideas Portal for reporting bugs - we ask that you report bugs or issues with the product by contacting IBM support.

Synthetic DB2 for z/OS Statistics

At the university of Jena in Germany we invented a concept called synthetic statistics and implemented a prototype for DB2 for z/OS, which is able to generate DB2 statistics on a synthetic way only based on abstract Performance Indicators (PIs).

PIs are information, that decribe the characteristics of data and can be specified by application architects / developers (e. g. within a data model). By using PIs and the concept of synthetic statistics for example it's possible to generate synthetic statistics in a very early design phase of a new database application (or new application moduls) and evaluate its performance based on execution plans without the need of possibly huge test data generation or costly data anonymisation to be able to build necessary real statistics. Addionally there is the opportunity to reverse engineer statistics to PIs, which can also be very usefull within development and review process.

Because of the positive feedback at IDUG we talked about the concept of synthetic statistics and possible integration capabilities into Optim Query Workload Tuner with Anson Kokkat (IBM), Jason Sizto (IBM) and Georg Kistenberger (IBM). To follow up this topic, we decided to open a RFE.
  • Guest
  • Dec 31 2018
Why is it useful?
Who would benefit from this IDEA?
How should it work?
Idea Priority Medium
Priority Justification
Customer Name DATEV
Submitting Organization
Submitter Tags
  • Attach files

NOTICE TO EU RESIDENTS: per EU Data Protection Policy, if you wish to remove your personal information from the IBM ideas portal, please login to the ideas portal using your previously registered information then change your email to "anonymous@euprivacy.out" and first name to "anonymous" and last name to "anonymous". This will ensure that IBM will not send any emails to you about all idea submissions