![]() After you choose your optimization strategy, you can choose the rules you want to use. ![]() Strategies involve using either metadata, statistical information, or both for optimization. Choose your optimization strategy – To optimize how AWS SCT converts your data warehouse schema, you can choose the strategies and rules you want the tool to use.To do this, take the following steps in SCT before converting the schema: When converting from Oracle to Amazon Redshift, you need to ensure that you use the right distribution style and sort keys. I will not cover installation and configuration of SCT in this post, but it’s important to know that you need to install drivers for Oracle and Amazon Redshift to connect SCT to your source and target databases. To download a copy of SCT, see Installing and Updating the AWS Schema Conversion Tool in the SCT documentation. To find an overall reference for SCT, start with What Is the AWS Schema Conversion Tool? in the SCT documentation. For the purposes of this blog, we will run it on Microsoft Windows. SCT supports a wide variety of operating systems. This report not only helps you identify the effort required to convert but also identifies issues, limitations, and actions to take for schema conversion. SCT generates a database migration assessment report for Oracle to Amazon Redshift. AWS SCT automates much of the process of converting your data warehouse schema to an Amazon Redshift database schema. Now that we know how the architecture looks, let’s take a look at the steps to take.įirst step when doing a migration is to know how much time and effort the migration will take. Ideally, they should all be in the same account within the same Availability Zone. The replication instance to be used by DMS, the RDS Oracle database, and Amazon Redshift should all be in the same region. You use this replication instance to perform the database migration. AWS DMS creates a replication instance that runs on an Amazon EC2 instance in a VPC. Let’s take a look at the architecture if you are migrating your data warehouse from Amazon RDS for Oracle to Amazon Redshift.ĪWS SCT is a client application that can be installed on a workstation, laptop, or Amazon EC2 instance. AWS DMS helps you migrate your data easily and securely with minimal downtime. You can convert schema and code with AWS SCT and migrate data with AWS DMS. When migrating your database from one engine to another, you have two major things to consider: the conversion of the schema and code objects, and the migration and conversion of the data itself. Migrating your Oracle data warehouse to Amazon Redshift can substantially improve query and data load performance, increase scalability, and save costs. Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data using your existing business intelligence tools. This blog post gives you a quick overview of how you can use the AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS) to help you migrate your existing Oracle data warehouse to Amazon Redshift. Shree Kenghe is a solutions architect at Amazon Web Services.
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