AWS Database Blog

Category: AWS Database Migration Service*

Oracle Migration Automated – How to Automate Generation of Selection and Transformation Rules for AWS Data Migration Service

Akm Raziul Islam is a database architect at Amazon Web Services. You can use AWS Data Migration Service (AWS DMS) to copy data from multiple schemas in an Oracle source to a single Amazon RDS for Oracle target. You can also migrate data to different schemas on a target. But to do this, you need […]

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How to Migrate Your Oracle Database to PostgreSQL

Knievel Co is a database engineer at Amazon Web Services. This blog post provides an overview on how you can migrate your Oracle database to PostgreSQL. The two biggest parts of a database migration are the schema conversion and the data replication. We go over how to use the AWS Schema Conversion Tool (AWS SCT) […]

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Using the AWS Database Migration Service, Amazon S3, and AWS Lambda for Database Analytics

Jeff Levine is a solutions architect for Amazon Web Services. The AWS Database Migration Service (AWS DMS) supports Amazon S3 as a migration target. The services enable you to extract information from any database supported by DMS and write it to Amazon S3 in a format that can be used by almost any application. You […]

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Migrate Your Procedural SQL Code with the AWS Schema Conversion Tool

Database administrators and developers rely on relational databases to store data for applications. As Forbes noted in 2016, the development of open source offerings for database management systems like PostgreSQL is causing a growing number of enterprises to migrate to lower-cost solutions for their data storage. The move to the cloud often provides an excellent […]

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How to Migrate Your Oracle Data Warehouse to Amazon Redshift Using AWS SCT and AWS DMS

Shree Kenghe is a solutions architect at Amazon Web Services. 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. Amazon Redshift is a fast, fully […]

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Set Up AWS DMS for Cross-Account Migration

Hemant Borole is a big data consultant at Amazon Web Services. AWS Database Migration Service (AWS DMS) helps you migrate databases to AWS easily and securely. AWS DMS supports homogenous migrations such as Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora. For customers who use […]

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Introducing Data Extractors in AWS Schema Conversion Tool Version 1.0.602

We are pleased to announce the recent release of version 1.0.602 of the AWS Schema Conversion Tool (AWS SCT). The new version includes a new key capability—data migration agents that extract data from Oracle, MS SQL Server, Teradata, IBM Netezza, Greenplum and HPE Vertica data warehouses, prepare, optimize and upload it to Amazon Redshift. The […]

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Migrating Oracle Database from On-Premises or Amazon EC2 Instances to Amazon Redshift

Ballu Singh and Pubali Sen are solutions architects at Amazon Web Services. AWS Database Migration Service (AWS DMS) helps you migrate databases to AWS easily and securely. The AWS Database Migration Service can migrate your data to and from most widely used commercial and open-source databases. The service supports homogenous migrations such as Oracle to […]

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Events and Notifications in AWS Database Migration Service

We’ve recently added a new feature in AWS Database Migration Service (AWS DMS)—the ability to receive DMS events notifications, such as email messages, text messages, or calls to HTTP endpoints, through Amazon Simple Notification Service (Amazon SNS). You now can subscribe and receive notifications for two types of events—events related to DMS instances and events […]

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Reduce Resource Consumption by Consolidating Your Sharded System into Aurora

Ed Murray is a manager at Amazon Web Services. When faced with the prospect of scaling your relational workload, you have generally had two options available: scale up or scale out. Scaling up is easy—just buy a bigger database host. Scaling out is more difficult. It requires you to shard your database into several physically […]

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