Use an Amazon SageMaker Data Wrangler flow, or a data flow, to create and modify a data preparation pipeline. The data flow connects the datasets, transformations, and analyses, or …

AWS Data Pipeline is a web service that you can use to automate the movement and transformation of data. With AWS Data Pipeline, you can define data-driven workflows, so that …

Amazon AppFlow is an integration service that enables you to securely transfer data between SaaS applications and AWS services without code.

Use a SageMaker Canvas data flow to connect your datasets, transformations, and analyses into a single pipeline.

Apr 20, 2021 · AWS Step Functions recently introduced a new data flow simulator to model input and output path processing. This new feature makes it easier to evaluate JSON-based input …

If you're a Salesforce user, you can connect Amazon AppFlow to your Salesforce account. Then, you can use Salesforce as a data source or destination in your flows. Run these flows to …

Bring your data together — Aggregate data from multiple sources so that you can train your analytics tools more effectively and save money. Keep track of your data — Use Amazon …

A flow uses a connection to transfer data between a source and a destination. When you run a flow, Amazon AppFlow verifies that the data is available in the source, processes the data …

With AWS Step Functions Local, a downloadable version of Step Functions, you can test applications with Step Functions running in your own development environment. Step …

You can use Amazon AppFlow to set up data flows in minutes with no coding required. Using an intuitive user interface, you can select your data sources and destinations; configure optional …