Cloudera Data Science Workbench provides freedom for data scientists. It gives them the flexibility to work with their favorite libraries using isolated environments with a container for each project. In JVM world such as Java or Scala, using your favorite packages on a Spark cluster is easy. Each application manages preferred packages using fat JARs, and it brings independent environments with the Spark cluster. Many data scientists prefer Python to Scala for data science, Read more The post Use your favorite Python library on PySpark cluster with Cloudera Data Science Workbench appeared first on Cloudera Engineering Blog.


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CDH,Data Science,How-to,Spark,Cloudera Data Science Workbench,PySpark,python