Skip to Main Content
IBM Data and AI Ideas Portal for Customers

Shape the future of IBM!

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,

  1. Post an idea

  2. Upvote ideas that matter most to you

  3. 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.

Additional Information

To view our roadmaps:

Reminder: This is not the place to submit defects or support needs, please use normal support channel for these cases

IBM Employees:

The correct URL for entering your ideas is:

Status Not under consideration
Created by Guest
Created on Feb 27, 2017

Option to exclude NULL (empty rows) from column analysis Information Analyzer

Real life use case:

Information Analyzer is used to profile data using Column Analysis with Data Sample of given size ( for example 10k or 100k rows).

Analyzed column have 20 milions rows in total: lets assume 18 milion rows are empty (NULL), and 2 milion do have meaningfull values.

Currently empty values (NULLs) are collected into Data Sample, as well as real values. There is no way to exclude NULLs from being collected into data sample now.

So selecting 10k or 100k rows from table above, without excluding NULL values, leads to situation that Data Sample MAY CONTAINS ONLY NULLs...

As this analysis are done on reall applications (2000 tables+), then any manual workaround is not applicable here (like creating virtual table for each analyzed column). Obviously, using very big Data Sample have negative performance impact.

Using SQL terminology, in Data Sample there should be an option to add "...WHERE IS NOT NULL; " to the statement collecting data from each of analysed columns.