Prerequisites - Database Migration Guide
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).


The following prerequisites are also required to complete this walkthrough:

  • Familiarity with the Amazon Web Services Management Console, Amazon SCT, Amazon Redshift, Google Cloud management console, and SQL.

  • An Amazon user with Amazon Identity and Access Management (IAM) credentials. Make sure that you can use these credentials to launch Amazon Redshift clusters and create an Amazon S3 bucket in your Amazon Web Services Region. For more information, see Creating an IAM role for your Amazon Redshift cluster and Create an IAM user for your Amazon S3 bucket.

  • Basic knowledge of the Amazon Virtual Private Cloud (Amazon VPC) service and of security groups. For information about using Amazon Redshift in a VPC, see Managing clusters in a VPC.

  • An understanding of the supported features and limitations on using BigQuery as a source for Amazon SCT. For more information, see Using BigQuery as a source in Amazon SCT User Guide.

  • An Amazon service profile in Amazon SCT with access to the S3 bucket. For more information, see Storing service profiles in Amazon SCT User Guide.

For more information about the Amazon Schema Conversion Tool, see

For this migration walkthrough, we expect that you are familiar with BigQuery. You can use your BigQuery project for this migration, or create a new one. For example, you can use one of the public BigQuery datasets that are available in Google Cloud Marketplace.

We recommend that you don’t use your production workloads for the migration in this walkthrough. After you get familiar with migration tools and Amazon services, you can migrate your production workloads.