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

Appendix C: Upgrading to Snowflake Data Cloud Connector

Appendix C: Upgrading to Snowflake Data Cloud Connector

If you are currently using the Snowflake V1 connection or the Snowflake ODBC connection to access and perform operations in Snowflake, you can upgrade to Snowflake Data Cloud Connector.
As the object type is compatible, you can switch the source or target connection type in existing mappings that use the Snowflake connection or the Snowflake ODBC connection with the Snowflake Data Cloud connection.
After you replace the connection in the mapping, the object selected previously is not retained. You must reimport the Snowflake object. The configured advanced source, target, and lookup properties in the fields that are common between the two connectors are retained in the new connector. You also have the option to retain the configured field mappings from the old connector.
You can run the mapping successfully using the configured values from the old connector. You can additionally configure features that the enhanced Snowflake Data Cloud Connector offers.
You can also migrate a Snowflake V1 connection to Snowflake Data Cloud connection in existing assets using the Data Integration REST API. For more information, see the topic "connectionMigration" in the
REST API Reference
. For details on the migration process and rules and guidelines, see the following How-To Library article: Migrating a connector from previous versions using the Data Integration REST API

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