AWS Database Blog

Category: DMS

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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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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Debugging Your AWS DMS Migrations: What to Do When Things Go Wrong (Part 1)

This post walks you through a troubleshooting flow chart to help you understand what could go wrong with migrations using AWS DMS, and it discusses best practices for debugging your AWS DMS migrations. This process involves creating the required AWS DMS components—like the replication instance, source and target endpoints, and the replication task to migrate data from the source endpoint to the target endpoint.

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Automating AWS DMS Migration Tasks

This blog post gives you a quick overview of how you can schedule migration tasks for the purpose of automating your migration. You create these tasks by using the AWS Database Migration Service (AWS DMS) and using native operating system tools for either Linux or Microsoft Windows.

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Introducing Amazon S3 and Microsoft Azure SQL Database Connectors in AWS Database Migration Service

We are excited to announce the addition of two new database connectors in AWS Database Migration Service (AWS DMS)—Amazon S3 as a source and Microsoft Azure SQL Database as a source. You can now migrate data from these two new sources to all AWS DMS supported targets. Amazon S3 as a source You can now […]

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Replicating Amazon EC2 or On-Premises SQL Server to Amazon RDS for SQL Server

Amazon RDS for SQL Server is a managed Microsoft SQL Server database service that makes it easy to set up, operate, and scale SQL Server deployments in the cloud. Amazon RDS takes away the time-consuming database administration activities so that you can focus on your schema design, query construction, query optimization, and building your application. […]

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Migrating a SQL Server Database to a MySQL-Compatible Database Engine

This post provides an overview of how you can migrate your Microsoft SQL Server database to a MySQL-compatible database engine such as Amazon RDS for MySQL, Amazon RDS for MariaDB, or Amazon Aurora MySQL. The following are the two main parts of a database migration: Schema conversion: Converting the schema objects is usually the most […]

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Using Amazon Redshift for Fast Analytical Reports

With digital data growing at an incomprehensible rate, enterprises are finding it difficult to ingest, store, and analyze the data quickly while keeping costs low. Traditional data warehouse systems need constant upgrades in terms of compute and storage to meet these challenges. In this post, we provide insights into how AWS Premier Partner Wipro helped […]

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Using AWS Database Migration Service and Amazon Athena to Replicate and Run Ad Hoc Queries on a SQL Server Database

Prahlad Rao is a solutions architect at Amazon Web Services. When you replicate a relational database to the cloud, one of the common use cases is to enable additional insights on the replicated data. You can apply the analytics and query-processing capabilities that are available in the AWS Cloud on the replicated data. To replicate […]

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