Posted On: Apr 29, 2021
AWS Glue DataBrew announces native console integration with Amazon AppFlow to connect to data from applications like Salesforce, Zendesk, Slack, ServiceNow, and tens of other Software-as-a-Service (SaaS) applications, and AWS services like Amazon S3 and Amazon Redshift. To get started, when you create a new dataset in DataBrew, you can pick from a list of pre-configured flows from AppFlow that load data (scheduled by, by event and on-demand) into Amazon S3 or create a new flow. The transferred data has to be in S3 before you can use them as input for DataBrew. You can then clean and normalize this data in DataBrew, and join, union, aggregate or combine with datasets from other data stores or SaaS applications. You can leverage already available 250+ transformations to prepare data for analytics of machine learning, without writing any code. Learn more about supported AppFlow sources and destinations.
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. Amazon AppFlow is a fully managed integration service that enables you to securely transfer data between Software-as-a-Service (SaaS) applications like Salesforce, Zendesk, Slack, and ServiceNow, and AWS services like Amazon S3 and Amazon Redshift.
This feature is available in public preview in every region where DataBrew and AppFlow are both available. To get started, visit the AWS Management Console or install the DataBrew plugin in your Notebook environment and refer to the DataBrew documentation.