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Deploying Spark ML pipelines in production on AWS : how to publish pipeline artifacts and run pipelines in production /
"Translating a Spark application from running in a local environment to running on a production cluster in the cloud requires several critical steps, including publishing artifacts, installing dependencies, and defining the steps in a pipeline. This video is a hands-on guide through the process...
| Call Number: | Libro Electrónico |
|---|---|
| Format: | Electronic Video |
| Language: | Inglés |
| Published: |
[Place of publication not identified] :
O'Reilly,
2017.
|
| Subjects: | |
| Online Access: | Texto completo (Requiere registro previo con correo institucional) |