Amazon AppFlow now supports AWS Glue Data Catalog integration and provides enhanced data preparation
Amazon AppFlow is a fully-managed integration service that enables you to securely transfer data between Software-as-a-Service (SaaS) applications like Salesforce, SAP, Google Analytics, Facebook Ads, and ServiceNow, and AWS services like Amazon Simple Storage Service (S3) and Amazon Redshift. With today’s launch, Amazon AppFlow now automates the preparation and registration of your SaaS data into the AWS Glue Data Catalog, with just a few clicks. You can now easily share, govern, analyze, and visualize your SaaS data from AWS analytics, machine learning, and business intelligence services such as Amazon Athena, AWS Glue, Amazon SageMaker Data Wrangler, and Amazon QuickSight.
Amazon AppFlow is a fully-managed integration service that enables you to securely transfer data between Software-as-a-Service (SaaS) applications like Salesforce, SAP, Google Analytics, Facebook Ads, and ServiceNow, and AWS services like Amazon Simple Storage Service (S3) and Amazon Redshift. With today’s launch, Amazon AppFlow now automates the preparation and registration of your SaaS data into the AWS Glue Data Catalog, with just a few clicks. You can now easily share, govern, analyze, and visualize your SaaS data from AWS analytics, machine learning, and business intelligence services such as Amazon Athena, AWS Glue, Amazon SageMaker Data Wrangler, and Amazon QuickSight.
To simplify data preparation and improve query performance when using analytics engines such as Amazon Athena, Amazon AppFlow also now enables you to organize your data into partitioned folders in Amazon S3. Amazon AppFlow also automates the aggregation of records into files which are optimized to the size you specify. This increases performance by reducing processing overhead and improving parallelism.
To learn more, visit the Amazon AppFlow user guide. To get started using Amazon AppFlow, see Getting started with Amazon AppFlow videos and demos.