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Code Obfuscation in Jupyter/Databricks Notebooks

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As we are having reusable functions in spark ETL notebooks in AWS EMR - Jupyter, we have to obfuscate/ secure the source code present in a particular notebook. By default, ETL notebooks provide the notebooks view access to group members within the service/ workspace account so that code can easily be interpreted by others.

please advise the best way to obfuscate/ secure the code present in the notebooks

Temas
Análisis
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Amazon EMR
Idioma
English

preguntada hace 4 años692 visualizaciones

1 Respuesta
0

Currently you can use conditions in your identity-based policy to control access to EMR notebooks based on tags.

Please refer to our public documentation below for multiple examples of controlling access to EMR Notebooks

https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-fine-grained-cluster-access.html#emr-managed-notebooks-tags-examples

AWS

respondido hace 4 años

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