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Datastage Course Content Overview of the Data Stage Introduction to Data Warehousing What is Data Warehousing? Who needs Data Warehousing? Why Data Warehouse is required? Types of Systems (i) OLTP (ii) DSS (iii) OLAP Maintenance of Data Warehouse Data Warehousing Life Cycle Data Warehousing Architecture a) Source b) Integration Layer c) Staging Area d) Target e) Analysis & Reporting IBM WEBSHPERE DATA STAGE VERSION 8.1 Contents Introduction about Data Stage IBM Information Sever architecture Datastage within the IBM Information Sever architecture Difference between Server Jobs and Parallel Jobs Difference between Pipeline and Partition Parallelism Partition techniques (Round Robin, Random, Hash, Entire, Same, Modules, Range, DB2, Auto) Configuration file Difference between SMP/MPP Architecture Data stage components (Server / Client components) Package installer
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Controls Layouts Phase and Checkpoint Project and Sandbox Sub graphs Deadlocks Continuous Flows Interpreting the Log File Monitoring the Graph Wrapper Scripts Brief intro about EME Brief intro about Shop For Data (SFD) Brief intro about Conduct>It Brief intro about Data Profiler
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