Category: Database

The AWS Schema Conversion Tool (AWS SCT) makes heterogeneous database migrations more predictable by automatically converting the source database schema and most of the database code objects to a format compatible with the target database. To help with migration of on-premises data warehouses to Amazon Redshift, the new version of AWS SCT adds the following important […]

Let’s start with a quick recap from our previous posts, Debugging Your AWS DMS Migrations: What to Do When Things Go Wrong, Part 1 and Part 2. There, we cover the initial steps to take to debug your AWS Database Migration Service (DMS) migrations for environmental issues and to use Amazon CloudWatch metrics to identify […]

This blog post walks you through how to securely encrypt a Microsoft SQL Server backup file and restore the encrypted backup to an Amazon RDS for SQL Server instance. You perform this process using Amazon Simple Storage Service (Amazon S3) and AWS Key Management Service (AWS KMS). This post details the encryption and steps required […]

Australia Finance Group (AFG) is one of the largest mortgage aggregators in Australia, according to the Mortgage and Finance Association of Australia. AFG migrated their Oracle Siebel Customer Relationship Management (CRM) application to a managed database with Amazon RDS for Oracle. In this blog post, we describe their approach to migrating the database from Oracle […]

Amazon Web Services (AWS) customers bet their businesses on their data store and highly available access to it. For these customers, Multi-AZ configurations provide an easy-to-use solution for high availability (HA). When you enable Multi-AZ, Amazon Relational Database Service (Amazon RDS) maintains a redundant and consistent standby copy of your data. If you encounter problems […]

In Part 1 of this blog series, I talked about how Amazon Relational Database Service (Amazon RDS) can help change the focus of your role as a database administrator (DBA) from routine, time-consuming tasks to project work that helps the business move faster. In this post, I discuss how you can push that advantage one step further and use AWS tools to do more through automation. An important aspect of being an effective DBA when your business is running at top speed is using code and automation whenever you can. AWS provides tools for you to make this easier.

Introduction Recently, AWS Database Migration Services (AWS DMS) added support for using Amazon S3 as a source for your database migration. This new support means that you can now load data in comma-separated value (CSV) format from S3 into any supported target, whether or not the target has native S3 support. In most cases, when […]

Amazon Aurora offers a high-performance advanced auditing feature that logs detailed database activity to the database audit logs in Amazon CloudWatch. If you are using Aurora 1.10.1 or greater, you can use advanced auditing to meet regulatory or compliance requirements by capturing eligible events like tables queried, queries issued, and connections and disconnections. You can […]

AWS Database Migration Service (AWS DMS) helps you migrate databases to AWS quickly and securely. You can migrate your data to and from most widely used commercial and open source databases, such as Oracle, Microsoft SQL Server, and PostgreSQL. The service supports homogeneous migrations such as Oracle to Oracle, and also heterogeneous migrations between different […]

We are excited to announce a new feature that provides a pre-migration checklist in AWS Database Migration Service (AWS DMS). AWS DMS does a great job of helping you move your data between multiple supported sources and targets. However, migrations can be difficult, especially when you’re moving from one database engine to another (known as […]