Curriculum
- 1 Section
- 11 Lessons
- 3 Days
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- Topics11
- 1.1Introduction Course objectives Mapping Techniques – local variables Using local variables: self and forward references
- 1.2Mapping Techniques – pivoting data Using the Normalizer transformation (level of occurs, generated keys, examples) Normalizing flat file outputs Denormalizing with unconnected Lookups Denormalizing with the Aggregator (conditional clause and local variables)
- 1.3Mapping Techniques – self-joins Using a Joiner with the sorted input property
- 1.4Mapping Techniques – Lookup Transformation Using dynamic caching Pipeline lookups
- 1.5Lab: Self-join, Dynamic Lookup and Denormalizing Mapping Techniques – surrogate keys Using the Sequence generator transformation Using a trigger, GUID or update overrides
- 1.6Mapping Techniques – other Calling stored procedures Transaction Control transformation and commit points Transaction scope
- 1.7Advanced Parameter usage Sharing mapping parameters between sessions
- 1.8Mapping Templates Slowly changing dimension updates (type 1, 2, 3 and mixed) Lab: dimensional updates Data validation and error trapping Comparing the contents of two tables and extracting differences Building parameter files Lab: parameter files
- 1.9Performance Tuning Understanding PowerCenter’s architecture Getting baseline numbers Using performance counters Identifying bottlenecks Tuning the target and source components Tuning blocking transformations Tuning Lookup transformations Lab: tuning the mapping Tuning the session, caches and memory Using session partitioning Tuning the workflow Running multiple instances of the same workflow Running a session or a workflow on a grid Lab: session partitioning Using PushDown optimization (optional)
- 1.10Using XML (optional) Overview XML definitions Using XML sources and targets Using the XML editor Midstream XML transformations
- 1.11Lab: Using XML Review of command line utilities Infacmd pmcmd pmrep
Performance Tuning Understanding PowerCenter’s architecture Getting baseline numbers Using performance counters Identifying bottlenecks Tuning the target and source components Tuning blocking transformations Tuning Lookup transformations Lab: tuning the mapping Tuning the session, caches and memory Using session partitioning Tuning the workflow Running multiple instances of the same workflow Running a session or a workflow on a grid Lab: session partitioning Using PushDown optimization (optional)
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Lab: Using XML Review of command line utilities Infacmd pmcmd pmrep
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