Projects

Describes how to create and manage projects in Cloudera Data Science Workbench.

Projects🔗

Provides information on how to create, customize, manage, and delete a project.

Workbench🔗

Provides information on how to use the Workbench console to start and stop sessions, execute code, and access the terminal to run engines from the web console.

Visualize Report🔗

Describes how to use the visualization system to create plots.

GPU🔗

Describes how to use GPUs to accelerate highly parallelized, computationally-intensive workloads.

Embedded Web Apps🔗

Describes how to use embedded web applications for frameworks such as Spark 2, TensorFlow, and Shiny within sessions.

Web UI🔗

Describes how to access user interfaces for applications such as Cloudera Manager and Hue directly from the Cloudera Data Science Workbench UI.

Distributed ML🔗

Describes how to run distributed machine learning workloads on the CDH/HDP cluster with frameworks such as TensorFlowOnSpark, H2O, and XBoost.

Parallel Computing🔗

Describes how to launch multiple engine instances from a single interactive session.

Collaborate🔗

Describes how to git to collaborate on projects.