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06-30-2022
05:22 AM
Hello bbreak, Thank you for coming back to me. Much appreciated. Your summary of my question partially met my question. My problem description in other words: I work in an organisation that uses CDP as an Azure service. Within CDP I can use Datahubcluster and Cloudera Machine Learning CML. Due to the configuration of CML by our data engineers, I can use the Hive connector however I cannot the Spark connector to connect with and this might be a storage space like ADLS as you teached me and I have no clou of. But the essence is that the Spark connector is not yet there. So far the premises. Now my intention is to copy/write a table from CML python into that space that I can see from datahubcluster. The table or dataframe formats that I use are pandas or spark. My question: How to copy/write CML python dataframes with format pandas or spark into that space that I see from datahubcluster? Thank you in advance!
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06-28-2022
07:43 AM
How to write a dataframe (pandas,spark) with python from CML (Workbench or NoteBook) to a Cloudera Datahubcluster? Is it possible without pyspark? Thanks!
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