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This paper addresses the topic of data migration and how you can use HPU to build a data migration strategy that can be scheduled to be migrated, automatically, from source to target database with no manual steps.
No longer do you have to grapple with reserving large amounts of storage capacity on the source or target database to stage data; no longer do you have to worry about preserving identity (surrogate) keys; no longer do you have to worry about generating subsets (ranges) of data to be migrated; and no longer do you have to worry about different DB2 software levels or distribution maps.
This newly published and second paper on HPU, the first paper looked at using HPU as part of a recovery strategy, looks at how you can build and implement a data migration strategy using HPU. In testing the recommendations in this paper, we used both an IBM Smart Analytics System and an IBM PureData for Operational Analytics System.
