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:
Post your ideas
Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,
Post an idea
Upvote ideas that matter most to you
Get feedback from the IBM team to refine your idea
Help IBM prioritize your ideas and requests
The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.
Receive notification on the decision
Some ideas can be implemented at IBM, while others may not fit within the development plans for the product. In either case, the team will let you know as soon as possible. In some cases, we may be able to find alternatives for ideas which cannot be implemented in a reasonable time.
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.
Do not place IBM confidential, company confidential, or personal information into any field.