Notebooks

This section explains how to use Notebooks. It covers the following topics:

• Introduction to Notebooks
• Managing Notebooks
• Using Different Types of Notebook
• Running Spark Applications in Notebooks
• Running Shell Commands in Notebooks
• Managing Notebook Versions using GitHub
• Understanding the Zeppelin Metrics for Monitoring (AWS)
• Zeppelin Metrics on the Datadog UI
• Configuring Interpreters in a Notebook
• Notebook Interpreter Operations
• Using Dynamic Input Forms in Notebooks
• Parameterizing Notebooks
• Data Visualization in Notebooks

For information on using Notebooks with Spark, see:

• Configuring a Spark Notebook
• Understanding Spark Notebooks and its Interpreters
• Running Spark Notebooks in a Schedule

To create, configure, run, clone, delete or bind a notebook through a REST API call, see Notebook API.