blog_posts: 6fb1f3dd19
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#33-7948 | 2019-10-11 20:38:00 | Orchestrate Amazon Redshift-Based ETL workflows with AWS Step Functions and AWS Glue | https://aws.amazon.com/blogs/big-data/orchestrate-amazon-redshift-based-etl-workflows-with-aws-step-functions-and-aws-glue/ | In this post, I show how to use AWS Step Functions and AWS Glue Python Shell to orchestrate tasks for those Amazon Redshift-based ETL workflows in a completely serverless fashion. AWS Glue Python Shell is a Python runtime environment for running small to medium-sized ETL tasks, such as submitting SQL queries and waiting for a response. Step Functions lets you coordinate multiple AWS services into workflows so you can easily run and monitor a series of ETL tasks. Both AWS Glue Python Shell and Step Functions are serverless, allowing you to automatically run and scale them in response to events you define, rather than requiring you to provision, scale, and manage servers. | https://d2908q01vomqb2.cloudfront.net/b6692ea5df920cad691c20319a6fffd7a4a766b8/2019/10/11/RedshiftBasedETLwithStepFunctionsGlue1-300x198.png | 6fb1f3dd19 | Ben Romano | 2024-04-16 17:52:29 | 11 Oct 2019 |
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