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ETL Tools Info - Data warehousing and Business Intelligence

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ETL Tools Info - Data warehousing and Business Intelligence

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datastage edition ee enterprise etl ibm infosphere jobs parallel partitioning processing server stages tools tutorial

Content Summary

Datastage Enterprise Edition, formerly known as Datastage PX (parallel extender) has become recen... With the recent versions of Datastage (7.5, 8, 8.1, 8.5, 9.1), IBM does not release any updates t... 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 EE Datastag... Infosphere Datastage, Qualitystage and Information Analyzer certification materials and study gui... Key Datastage Enterprise Edition concepts Datastage EE is able to execute jobs on multiple CPUs (nodes) in parallel and is fully scalable, ... Partitioning and Pipelining Partitioning means breaking a dataset into smaller sets and distributing them evenly across the p... Each partition of data is processed by the same operation and transformed in the same way. The main outcome of using a partitioning mechanism is getting a linear scalability. This means for instance that once the data is evenly distributed, a 4 CPU server will process the... Pipelining means that each part of an ETL process (Extract, Transform, Load) is executed simultan... Parallel jobs are a lot faster in such ETL tasks like sorting, filtering, aggregating Datastage EE jobs are compiled into OSH (Orchestrate Shell script language) . OSH executes operat... Server Jobs are compiled into Basic which is an interpreted pseudo-code. This is why parallel jobs run faster, even if processed on one CPU. Datastage Enterprise Edition adds functionality to the traditional server stages, for instance re... Datastage EE brings also completely new stages implementing the parallel concept, for example: Enterprise Database Connectors for Oracle, Teradata &

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