Source: aws.amazon.com
New — Amazon SageMaker Data Wrangler Supports SaaS Applications as Data Sou
https://aws.amazon.com/polly/ Data fuels machine learning. In machine learning, data preparation is the process of transforming raw data into a format that is suitable for further processing and analysis.
Introducing Amazon SageMaker Data Wrangler Supports SaaS Applications as Data Sources I’m happy to share that starting today, you can aggregate external SaaS application data for ML in Amazon SageMaker Data Wrangler to prepare data for ML. With this feature, you can use more than 40 SaaS applications as data sources via Amazon AppFlow and have these data available on Amazon SageMaker Data Wrangler.
Availability – Amazon SageMaker Data Wrangler supports SaaS applications as data sources available in all the Regions currently supported by Amazon AppFlow.
Introducing Amazon SageMaker Data Wrangler Supports SaaS Applications as Data Sources I’m happy to share that starting today, you can aggregate external SaaS application data for ML in Amazon SageMaker Data Wrangler to prepare data for ML. With this feature, you can use more than 40 SaaS applications as data sources via Amazon AppFlow and have these data available on Amazon SageMaker Data Wrangler.
Availability – Amazon SageMaker Data Wrangler supports SaaS applications as data sources available in all the Regions currently supported by Amazon AppFlow.
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