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).


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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:


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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

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  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


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Status Not under consideration
Workspace Cognos Analytics
Created by Guest
Created on Feb 9, 2018

RELATED IDEAS

Dynamic cubes heap when loading in-memory aggregates

Loading the in-memory aggregates consumes massive amounts of heap. In previous versions of Cognos when all in-memory aggregates was loaded from the source the heap consumption was far less.

We have a setup with a few cubs starting at the same time consuming in total 12GB of In-memory aggregate the heap consumes 96GB of heap during loading of the in-memory aggregats.

I question the efficiency of the operation of loading the in-memory aggregates. From a usage (reporting/analysis) perspective we only would require 36GB of heap. But in order to get the reports started we need to have 128GB of heap defined.

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