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1
Varies by project, and also often some custom solution because project predate the latest cloud offerings. Often Spark/AWS Athena, Python/tensorflow and Airflow and a lot of manual plumbing.
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@paul_rietschka I find it interesting that progress in cloud ML platforms seems to outpace how fast companies deliver. So you start, but before you are finished a new services or a new feature comes out and you can barely catch up.