IBM Data and AI Ideas Portal for Customers
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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,
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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,
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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
A multithreaded refresh will be very helpfull on all plattforms.
We have the information needed. Given that workarounds exist, while this item is valid and will be considered in our planning, it is a low priority item at this time.
Any more details required - ???
There are more clients waiting for this enhancement request Like COSTCO where they are doing the migration from Oracle to DB2LUW in Azure
Can there be a MBA fast apply from iseries to Kafka or Flatfile ?
Currently client is using our Refresh process to load the tables which is taking up to 10 to15 days to complete 20TB of historical data. If we introduce the Multithreading using JDBC or any other elements will give our tool as a all in all process and faster load and does not have tpo keep the journals for a longer period thus taking up the space.