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by fractionalhare
1916 days ago
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I can see a lot of potential in Go for data engineering specifically, yeah. Those would probably be some very stable and performant ETLs. And the concurrency and network primitives would make it easy to develop libraries like Prefect/Airflow. |
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Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (https://github.com/awslabs/aws-data-wrangler) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution.