AWS Databricks - Distributed ML Models in Sagameker and Databricks

[Saurabh707344]

While using Databricks on AWS, What will be impact if few ML models are build using Sagemaker pipelines, whereas other models build on databricks ML itself ?

Any other impact apart from infra maintainance cost ?

Are there any prefered tool that can easily convert Sagamaker's Python code to Databricks Pyspark code ?

[Anonymous]

Hi @Saurabh Singh​ 

Great to meet you, and thanks for your question!

Let's see if your peers in the community have an answer to your question. Thanks.