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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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Access data files in an Amazon S3 bucket

Access data files in an Amazon S3 bucket

You need to have access to data files in an Amazon S3 bucket to load data from Amazon S3 to Snowflake.
When you write data to multiple Snowflake targets with storage integration enabled for Amazon S3, you need to use the same Snowflake connection for all targets.
  1. Create a Cloud Storage Integration object that contains the details of the Amazon S3 buckets from which you want to read data.
  2. After you create the Cloud Storage Integration in Snowflake, specify the Cloud Storage Integration name in the
    Additional JDBC URL Parameters
     connection property.
    The Storage Integration value is case-sensitive.
Snowflake Data Cloud Connector creates a temporary external stage that uses the Cloud Storage Integration you created.
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