Category: AWS Schema Conversion Tool

Database migration can be a complicated task. It presents all the challenges of changing your software platform, understanding source data complexity, data loss checks, thoroughly testing existing functionality, comparing application performance, and validating your data. AWS provides several tools and services that provide a pre-migration checklist and migration assessments. You can use the AWS Schema […]

In this post, we look at how to use virtual partitioning to optimize your data warehouse migrations using AWS SCT. Virtual partitioning speeds up large table extraction using parallel processing. It is a recommended best practice for data warehouse migrations.

We are excited to introduce a new version of the AWS Schema Conversion Tool (AWS SCT). This version includes support for table-valued function conversions, additional information in server-level assessment reports, and more. For those of you who are new to AWS SCT, this tool helps convert your existing database schema from one database engine to […]

We are excited to introduce a new version of AWS Schema Conversion Tool (AWS SCT) that includes support for PostgreSQL 10 partitioning, a new server-level Assessment Report, support for table-valued functions, and more. For those of you who are new to AWS SCT, this tool helps convert your existing database schema from one database engine […]

Managing and operating relational databases is a basic piece of maintaining an effective business. Relational databases come in many flavors—commercial (Oracle, Microsoft SQL Server, IBM Db2, and so on) and open source (MySQL, PostgreSQL, and so on). With innovation and improvements in the open-source database world and cloud computing platforms like AWS, many enterprises are […]

The AWS Schema Conversion Tool (AWS SCT) makes your database migrations more predictable. It does this by automatically converting the source database schema and most of the database code objects to a format compatible with the target database. We’re excited to announce a new feature in AWS SCT to enable schema comparison and synchronization for […]

The AWS Schema Conversion Tool (AWS SCT) helps convert your existing database schema from one database engine to another. You can convert from a relational OLTP schema or any supported data warehouse OLAP schema to Amazon RDS (for example, Amazon Aurora MySQL or Amazon Aurora PostgreSQL, among others). You can also convert from a relational […]

By Todd Hofert, Director of Infrastructure Operations—FSM at Trimble Inc. The situation Recently, the Infrastructure Operations Group for Trimble’s Field Service Management division embarked on an aggressive initiative to migrate their privately hosted SaaS offerings to Amazon Web Services (AWS). The division faced the need for a hardware refresh, continuing cost reduction pressures, and a […]

MySQL is a great open-source database engine, which a lot of companies use because it’s cost-effective. However, like any other open-source database, it takes a lot of work to get commercial-grade performance out of it. As the size of your database increases, the complexity of scaling and crash recovery in MySQL also increases. Scaling out […]

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 […]