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  • PowerExchange Adapters for PowerCenter 10.5.9
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to PowerExchange for Google BigQuery
  3. PowerExchange for Google BigQuery Configuration
  4. Google BigQuery Sources and Targets
  5. Google BigQuery Mappings
  6. Google BigQuery Sessions
  7. Google BigQuery as CDC Target
  8. Google BigQuery Pushdown Optimization
  9. Appendix A: Google BigQuery Data Type Reference

PowerExchange for Google BigQuery User Guide for PowerCenter

PowerExchange for Google BigQuery User Guide for PowerCenter

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Create a Google BigQuery Mapping

Create a Google BigQuery Mapping

Create a mapping to represent how the PowerCenter Integration Service extracts, transforms, and loads data to Google BigQuery.
For example, create a mapping to read the product details from the Google BigQuery source, apply a filter transformation to filter data based on the department, and write the records to a Google BigQuery target for data analysis.
  1. Import a Google BigQuery source and target definition into the PowerCenter repository.
  2. Create a Google BigQuery mapping with a Google BigQuery source and target.
    The following image shows a Google BigQuery mapping:
    The mapping shows the configured transformation logic that the PowerCenter Integration Service uses to read data from and write data to Google BigQuery.
    The Google BigQuery mapping contains the following objects:
    • A Google BigQuery source definition that contains the product department details, such as the Department ID, Department Name, Product ID, Product Description, Quantity, and Cost.
    • An Filter transformation to filter product details based on the Department ID.
    • A Google BigQuery target definition.
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