I have come across occasions when the teams use Python with Spark for ETL, for example processing data from S3 buckets into Snowflake with Spark.
The only reason I think they are choosing Python as opposed to Scala is because they are more familiar with Python. Since Spark is written in Scala, itself is an indication of why I think Scala has an edge. I have not done one to one comparison of Spark with Scala vs Spark with Python. I understand for data science purposes most libraries like TensorFlow etc. are written in Python but I am at loss to understand the validity of using Python with Spark for ETL purposes. These are my understanding but they are not facts so I would like to get some informed views on this if I can? Many thanks, Mich LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction.
