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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: 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

IBM Employees:

The correct URL for entering your ideas is: https://hybridcloudunit-internal.ideas.aha.io


Status Future consideration
Created by Guest
Created on Jul 19, 2018

Virtual Table Support on Hive Files

" - SQL virtual Tables for HIVE should work in a similar way, with no limitations, the same way they work on Oracle and DB2 and traditional databases
- Feature to support a more scalable solution for applying ""conditional"" column testing without the overhead of managing additional datasets, rule metrics, or rule sets
- Critical for enabling a self-serve data access model out of TD's data lake to support DQ profiling
- long term strategic solution for more flexibility on quality testing for non-homogeneous data element (columns), and shows a true percentage with correct denominator
- SQL Virtual tables support for HIVE
- Solution needed to to subset a group of data instances by their business conditions and to apply data quality rule against these data instances
- Plan for v-table support"