Article
The IBM i Partitioning Paradox: Defined
Mon, 06/27/2016
Managing big data requires making some big decisions: how to store, query, and report on the constantly increasing stream of data. Although the practice of ‘data at scale’ or table partitioning is popular on IBM i, it creates a partitioning paradox that often adds complications to efficiently querying data.