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Amazon SageMaker Data Wrangler now supports over 40 third-party applications as data sources


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Today, AWS announces the general availability of Amazon SageMaker Data Wrangler support for over 40 third party applications as data sources for machine learning (ML) through the integration with Amazon AppFlow. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. Preparing high quality data for ML is often complex and time consuming as it requires aggregating data across various sources and formats using different tools. With SageMaker Data Wrangler, you can explore and import data from a variety of popular sources, such as Amazon S3, Amazon Athena, Amazon Redshift, Snowflake, Databricks and Salesforce Customer Data Platform. Starting today, we are making it easier for customers to aggregate data for ML from over 40 third-party application data sources, including Salesforce Marketing, SAP, Google Analytics, LinkedIn and more via Amazon AppFlow. 

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