Prepare data from Amazon Redshift and other JDBC-supported databases/data warehouses in AWS Glue DataBrew through native connectors
You can now clean and transform data with an interactive, point-and-click visual interface from Amazon Redshift, Snowflake, Microsoft SQL Server, MySQL, Oracle Database, and PostgreSQL through native JDBC connectors in AWS Glue DataBrew. In just a few clicks, you can configure these JDBC connections from the AWS Management Console to directly explore and experiment with datasets from AWS data lakes, data warehouses, and databases without writing code.
You can now clean and transform data with an interactive, point-and-click visual interface from Amazon Redshift, Snowflake, Microsoft SQL Server, MySQL, Oracle Database, and PostgreSQL through native JDBC connectors in AWS Glue DataBrew. In just a few clicks, you can configure these JDBC connections from the AWS Management Console to directly explore and experiment with datasets from AWS data lakes, data warehouses, and databases without writing code.
AWS Glue DataBrew is a visual data preparation tool that makes it easy to clean and normalize data using 250+ pre-built transformations for data preparation, without the need to write any code.
To learn more about using JDBC connectors in AWS Glue DataBrew, see: