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  • Data Integration Connectors
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Table of Contents

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  1. Preface
  2. Part 1: Getting Started with Snowflake Data Cloud Connector
  3. Part 2: Data Integration with Snowflake Data Cloud Connector
  4. Part 3: SQL ELT with Snowflake Data Cloud Connector
  5. Appendix A: Data type reference
  6. Appendix B: Additional runtime configurations
  7. Appendix C: Upgrading to Snowflake Data Cloud Connector

Snowflake Data Cloud Connector

Snowflake Data Cloud Connector

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Context based optimization for multiple targets

Context based optimization for multiple targets

When you configure a mapping enabled for full SQL ELT optimization to write to multiple Snowflake targets using a Snowflake Data Cloud connection, you can specify the optimization context for multi-insert and slowly changing dimension type 2 merge scenarios.
You can specify the
Optimization context type
 on the
Runtime Options
 tab in a task. Based on the optimization context that you specify, Data Integration combines queries issued from multiple targets and constructs a single query for SQL ELT optimization and the task is optimized.
You can enable the following optimization modes in the task properties based on the target operations you specify in the mapping:
Multi-insert
Enable this mode when you insert data from a Snowflake source to multiple Snowflake targets. Data Integration combines the queries generated for each of the targets and issues a single query.
SCD Type 2 merge
Enable this mode when you write to two Snowflake targets, where you use one target to insert data and the other target to update data. Data Integration combines the queries for both the targets and issues a Merge query.
Default is None.
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