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In most cases no manual intervention is needed to implement optimally those techniques.
The main outcome of using a partitioning mechanism is getting a linear scalability. Each partition of data is processed by the same operation and transformed in the same way.
Partitioning means breaking a dataset into smaller sets and distributing them evenly across the partitions (nodes). The EE architecture is process-based (rather than thread processing), platform independent and uses the processing node concept.ĭatastage EE is able to execute jobs on multiple CPUs (nodes) in parallel and is fully scalable, which means that a properly designed job can run across resources within a single machine or take advantage of parallel platforms like a cluster, GRID, or MPP architecture (massively parallel processing). Key Datastage Enterprise Edition conceptsĭatastage jobs are highly scalable due to the implementation of parallel processing. Infosphere Datastage 8 tutorial and certification materials now available on ETL-Tools.Info! Infosphere Datastage EE tutorial - Datastage and Qualitystage tutorial based on Information Server 8.1 and Datastage 7.5 EEĭatastage certification - Infosphere Datastage, Qualitystage and Information Analyzer certification materials and study guides (000-415, 000-416, 000-417, 000-418, 000-419 IBM exams)