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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 Delivered
Workspace Connectivity
Created by Guest
Created on Apr 1, 2021

BQ connector parallelism solution for export job flow

The BQ connector has issues with exporting data from BQ to DataStage on-prem solution in a parallel mode. Would like it to work in parallel

Needed by Date Apr 30, 2021
  • Admin
    Virginie Grandhaye
    May 14, 2021

    This functionality was implemented on the BigQuery connector and made available as a patch on top of Information Server 11.7.1.1.

    Thanks again for your suggestions, that help improving our products.

1 MERGED

BigQuery connector parallel export

Merged
Right now the BigQuery connector uses sequential exporting of data which can be slow when executing with multiple billions of rows. We think enhancing the connector with parallel exports would increase the processing speed.
about 1 year ago in Connectivity 1 Delivered