Migrating from Oracle to Amazon Aurora


In this course, we will discuss the step-by-step process of migrating an Oracle database to Amazon Aurora.


Are you looking to take advantage of the performance and scalability of Amazon Aurora while keeping the compatibility of your Oracle databases? Look no further! Amazon has created a free course that will guide you through the process of migrating your Oracle databases to Amazon Aurora, the high-performance relational database service provided by Amazon Web Services (AWS).

In this course, AWS Hero Alex DeBrie demonstrates the step-by-step process of migrating an Oracle database to Amazon Aurora. You can watch Alex explain the steps of the migration process or follow along using your own Amazon Web Services (AWS) account.

The course is designed for individuals who are familiar with Oracle databases and want to learn how to migrate them to Amazon Aurora. It covers all the necessary steps, from preparing for the migration to performing the migration and post-migration tasks. The course includes hands-on labs, quizzes, and a final project to help you practice and solidify your understanding of the material.

Throughout the course, you will learn about the different migration options available, such as using the AWS Database Migration Service (DMS) or the AWS Schema Conversion Tool (SCT), and when to use each one. You will also learn how to perform a full or partial migration and how to handle large databases. Additionally, you will learn how to configure and manage your Amazon Aurora instances and how to troubleshoot common issues.

By the end of the course, you will have a solid understanding of how to migrate your Oracle databases to Amazon Aurora. You will be able to enjoy the benefits of Amazon Aurora, such as high availability, automatic failover, and cost-efficient scaling while keeping compatibility with your existing Oracle databases. Enroll in the Migrating from Oracle to Amazon Aurora free course today and start your journey to high-performance databases in the cloud.


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