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IBM Data and AI Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


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:


Search existing ideas

Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,


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


Specific links you will want to bookmark for future use

Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.

ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Employees should enter Ideas at https://ideas.ibm.com


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
  • Guest
    Reply
    |
    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.
almost 3 years ago in Connectivity 1 Delivered