AWS Glue DataBrew now supports writing prepared data into AWS Lake Formation-based AWS Glue Data Catalog S3 tables
AWS Glue DataBrew now supports writing prepared data from recipe jobs into AWS Lake Formation-based AWS Glue Data Catalog S3 tables. With this feature, DataBrew automatically adopts the existing access permissions and security defined on the AWS Lake Formation-based Glue Data Catalog table and its associated Amazon S3 location.
AWS Glue DataBrew now supports writing prepared data from recipe jobs into AWS Lake Formation-based AWS Glue Data Catalog S3 tables. With this feature, DataBrew automatically adopts the existing access permissions and security defined on the AWS Lake Formation-based Glue Data Catalog table and its associated Amazon S3 location.
AWS Glue DataBrew is a visual data preparation tool that makes it easy to clean and normalize data using over 250 pre-built transformations, all without the need to write any code. You can automate filtering anomalies, converting data to standard formats, correcting invalid values, and other tasks.
To get started, visit the AWS Management Console or install the DataBrew plugin in your Notebook environment and refer to the DataBrew documentation.