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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:

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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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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.

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Status Not under consideration
Workspace DataStage
Created by Guest
Created on Sep 27, 2017

Automate migration of DataStage job with Enterprise Data Warehouse as the target to Hadoop

Enterprise Data Warehouse (EDW) optimization has been observed as the most common use case for data lake initiatives. Off loading EDW data into Hadoop provides a highly cost-efficient environment with optimal performance, scalability and flexibility. Data integration of various data sources into the EDW+Hadoop environment has been one critical challenge. Today's DataStage customers have many jobs developed to load EDW. As they implement the EDW optimization, they need to migrate their existing jobs with EDW as the target to Hadoop as the new target. The Hadoop target most likely will be HDFS or Hive. A tool that will automate the job migration by converting the EDW (DB2, Oracle, TeraData, PDA) Connectors to File/Hive Connectors will speed up the adoption of EDW optimization in development and deployment.