AWS Database Blog

Category: AWS Database Migration Service

Stream data into an Aurora PostgreSQL Database using AWS DMS and Amazon Kinesis Data Firehose

Using AWS Database Migration Service (AWS DMS), you can migrate data from various sources to most widely used commercial and open-source databases. The service supports homogenous migrations such as Oracle to Oracle. It also supports heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora or Microsoft SQL Server to MySQL. In addition, […]

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Simplify Data Warehouse Migration to Amazon Redshift Using New AWS Schema Conversion Tool Features

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 […]

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Database Migration

Debugging Your AWS DMS Migrations: What to Do When Things Go Wrong? (Part 3)

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 […]

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Migrate Delimited Files from Amazon S3 to an Amazon DynamoDB NoSQL Table Using AWS Database Migration Service and AWS CloudFormation

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 […]

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Migration Validation (Part 2) – Introducing Data Validation in AWS Database Migration Service

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 […]

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Migration Validation (Part 1) – Introducing Migration Assessment in AWS Database Migration Service

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 […]

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New AWS DMS and AWS Snowball Integration Enables Mass Database Migrations and Migrations of Large Databases

Before reading this blog post, we recommend that you look at the AWS DMS, AWS SCT and AWS Snowball blogs and get to know these services. More than 40,000 databases have been migrated to AWS using AWS Database Migration Service (AWS DMS), either as a one-time migration or with ongoing replication. AWS Database Migration Service (AWS DMS) and AWS […]

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Crowdsource Database Migration—Let’s Do It Together

We always treat database migration projects as a development exercise. Each project should have proper planning (that is, design), execution, and of course testing. Each step involves developer collaboration. Developers also just like to collaborate on tools, methodologies, and a nice piece of code. We want to facilitate developer collaboration for migration projects, to bring more tools and methods to the community to allow better, smoother, and faster migrations. As part of this effort, we recently launched two GitHub repositories, for AWS DMS samples and AWS DMS tools.

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Debugging Your AWS DMS Migrations: What to Do When Things Go Wrong (Part 2)

In our previous post, we covered the initial steps to debug AWS Database Migration Service (DMS) migrations for environmental issues. In this post, we continue the debugging process, discussing problems with migration tasks that aren’t in the list preceding and that aren’t due to environmental issues. We review CloudWatch graphs and task and table states to shed light on DMS migrations.

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