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 Connections
  5. PowerExchange for Google BigQuery Data Objects
  6. PowerExchange for Google BigQuery Mappings
  7. Google BigQuery Lookup
  8. Google BigQuery Run-Time Processing
  9. Appendix A: Google BigQuery Data Type Reference

PowerExchange for Google BigQuery User Guide

PowerExchange for Google BigQuery User Guide

PowerExchange for Google BigQuery Mappings Overview

PowerExchange for Google BigQuery Mappings Overview

After you create a Google BigQuery data object read or write operation, you can create a mapping to extract data from a Google BigQuery source or load data to a Google BigQuery target.
You can define properties in an operation to determine how the Data Integration Service must extract data from a Google BigQuery source or load data to a Google BigQuery target. You can extract data from one or more Google BigQuery sources, and load data to one or more Google BigQuery targets. When the Data Integration Service extracts data from the source or loads data to the target, it converts the data based on the data types associated with the source or the target.

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