JupyterHub is used to provide centralized, multi-user access to Jupyter Notebooks, making it easier for organizations, teams, or classrooms to work with code, data, and documentation in one place.
This guide provides comprehensive steps to deploy JupyterHub using MPack and RPM/DEB packages. It explains the necessity of each configuration step to simplify deployment and integration with HDFS and YarnSpawner in a distributed environment.
The setup is tailored for scalability across a Hadoop cluster, utilising YarnSpawner for resource management and HDFSCM for storing user notebooks on an HDFS path, alongside LDAP authentication for secure access.
Follow the below steps to setup Jupyter:
- Jupyter Prerequisites
- Install JupyterHub via Mpack
- Handle HDFS and YARN Permissions
- Configure YarnSpawner and HDFSCM
- Debug Issues with YarnSpawner and HDFSCM
- Enable SSL for JupyterHub
- Configure Databases for JupyterHub
- Jupyter Authentication
- Documentation for Spark Notebook Examples
- Error in Submitting YARN Job
- Custom Packages Installation in JupyterHub Notebook
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