Cloudera Docs

New Features and Changes in Cloudera Data Science Workbench 1.1.0

Major features and updates for Cloudera Data Science Workbench.

  • Added support for RHEL/CentOS 7.3 and Oracle Linux 7.3.

  • Cloudera Data Science Workbench now allows you to run GPU-based workloads. For more details, see Using NVIDIA GPUs for Cloudera Data Science Workbench Projects.

  • For Cloudera Manager and CDH clusters that are not connected to the Internet, Cloudera Data Science Workbench now supports fully offline installations. See the installation guide for more details.

  • Web UIs for processing frameworks such as Spark 2, Tensorflow, and Shiny, are now embedded in Cloudera Data Science Workbench and can be accessed directly from active sessions and jobs. For more details, see Accessing Web User Interfaces from Cloudera Data Science Workbench.

  • Added support for a Jobs REST API that lets you orchestrate jobs from 3rd party workflow tools. See Cloudera Data Science Workbench Jobs API.

  • DataFrames are now scrollable in the workbench session output pane. For examples, see the section on grid displays.

  • Added support for rich visualizations in Scala engine using Jupyter jvm-repr. For an example, see HTML Visualizations - Scala.

  • JAVA_HOME is now set in cdsw.conf, and not from the Site Administrator dashboard (Admin > Engines).