New Features and Changes in Cloudera Data Science Workbench 1.3.0
Major features and updates for Cloudera Data Science Workbench.
-
Added support for SUSE Linux Enterprise Server 12 SP3.
-
Site administrators can now add template projects that are customized for their organization's use-cases.
-
Version 1.3 introduces a new environment variable for Python 3 sessions called
PYSPARK3_PYTHON
. Python 2 sessions will continue to use the defaultPYSPARK_PYTHON
variable. This will allow you to configure distinct variables for Python 2 and Python 3 applications. -
In the Cloudera Manager CDSW service, the Wildcard DNS Domain property has been renamed to Cloudera Data Science Workbench Domain.
-
Output for the
cdsw version
command now includes the type of deployment you are running – RPM or CSD. -
Added
log4j
andspark-defaults
sample configuration to the PySpark and Scala template projects.