How to Deploy ETL and ML Pipelines in the Fastest, Cheapest and Most Flexible Way Possibleby@daniiar
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How to Deploy ETL and ML Pipelines in the Fastest, Cheapest and Most Flexible Way Possible

by Daniiar Abdiev2mDecember 17th, 2021
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An ideal DataOps solution would address the following problems: The pipeline can be broken down into separate steps each having its own dependencies, language version and etc. The pipeline management, like starting up and shutting down the resources has to be automatic, in order to incur only costs per usage. The platform will build a separate environment with all your dependencies from requirements. You choose what server to use to run your applications, big memory, big CPU, GPU, etc. You can add more pipeline steps, by repeating everything from 1 to 5 if you wish to create more complex pipelines.

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