![]() The fourth section appears to the right of the second section with an arrow pointing from the second section to the fourth section. This third section is called "Data integration engines." The text says, "Choose a preferred serverless, scalable data processing engine with automatic scaling and pay-as-you-go pricing." This section includes three engine names: “AWS Glue for Ray,” “AWS Glue for Python Shell,” and “AWS Glue for Apache Spark.” The first section on the left is called “Data sources.” It includes the following data sources: “Amazon S3,” “Amazon DynamoDB,” “Databases running on Amazon EC2,” “Databases,” and “SaaS.”įrom the first section, there is an arrow pointing to the middle section at the top of the diagram called "Choice of interfaces." Three items are included in this second section: “AWS Glue Studio,” “Amazon SageMaker notebooks,” and “Notebooks and IDEs.”īelow this second section, there is text that says, "Open interfaces support interactive and job workloads." This text includes an arrow pointing to the previously described second section above it and an arrow pointing to the third section below it. Four sections display: one on the left, two in the middle, and one on the right. The diagram shows how AWS Glue users can choose from interface options to create job workloads using multiple data integration engines.
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