AWS Glue DataBrew now supports writing prepared data directly into JDBC-supported destinations
AWS Glue DataBrew now supports writing cleaned and normalized data directly into JDBC-supported databases and data warehouses without requiring customers to move large amounts of data into intermediary data stores. In just a few clicks, customers can configure their recipe jobs to specify the following output destinations - Amazon Redshift, Snowflake, Microsoft SQL Server, MySQL, Oracle Database, and PostgreSQL.
AWS Glue DataBrew now supports writing cleaned and normalized data directly into JDBC-supported databases and data warehouses without requiring customers to move large amounts of data into intermediary data stores. In just a few clicks, customers can configure their recipe jobs to specify the following output destinations - Amazon Redshift, Snowflake, Microsoft SQL Server, MySQL, Oracle Database, and PostgreSQL.
DataBrew offers customers over 250 pre-built transformations to automate data preparation tasks (e.g. filtering anomalies, standardizing formats, and correcting invalid values) that would otherwise require days or weeks writing hand-coded transformations. To learn more, refer to the DataBrew documentation.