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These streamlined versions of warehouse tables are used to perform data validation (lookups) within an ETL job and select specific data from lookup tables (such as source ID fields in dimensions).

In the validation (lookup) process the smaller hash file is accessed, rather than the base warehouse table, improving performance.

OWE to MDW jobs generate a surrogate key that helps facilitate dimension key resolution.

People Soft use standard naming conventions for all ETL jobs; this ensures consistency across different projects.

The following diagram provides an example of a hash file lookup in a job.

Because hash files are vital to the lookup process, jobs cannot function properly until all hash files are created and populated with data.

The following table provides the naming conventions for People Soft delivered ETL jobs.

Jobs in this category extract data from the OWS tables and populate target D00, F00, and base tables in the OWE layer of the warehouse.Jobs in this category extract data from the OWS tables and populate target DIM and FACT tables in the MDW layer of the warehouse.OWS to MDW jobs generate a surrogate key that helps facilitate dimension key resolution.Jobs in this category extract data from the OWE tables and populate target DIM and FACT tables in the MDW layer of the warehouse.Properties of this job type mirror those of the OWS to MDW job.

More simply, ETL jobs extract data from source tables, process it, then write the data to target warehouse tables.

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Websphere validating links