Enterprise Steam is a service for securely starting and connecting to H2O YARN jobs in a Hadoop environment. Enterprise Steam offers security, resource control, and resource monitoring out of the box in a multi-tenant architecture so that organizations can focus on the core of their data science practice. Enterprise Steam enables streamlined H2O adoption in a secure manner that complies with company policies.
For data scientists, Enterprise Steam provides easy R/Python APIs and a Web UI for starting H2O YARN jobs and allows data scientists to practice data science in their own H2O cluster.
For Admins, Enterprise Steam provides control over which H2O versions are available and the YARN queues to use. Admins can also cap resources that data scientists can use.
This document describes how to start and use Enterprise Steam. Note that this document assumes that an Admin has successfully installed and started Enterprise Steam on a YARN edge node using the instructions provided in the Enterprise Steam Installation and Setup steps.
Note: Before you begin using Enterprise Steam, be sure that you have a Chrome browser version 50+ and that your minimum version of H2O is 220.127.116.11. If necessary, follow the instructions on the H2O Download page for your platform to upgrade H2O. For current customers with enterprise support, earlier versions can be supported. Contact H2O.ai if you require support for an earlier version.
- Enterprise Steam Release Notes
- Logging in to Enterprise Steam
- Clusters and Notebooks
- DAI Instances
- Python Environments
- Using Enterprise Steam with H2O Flow
- Using Enterprise Steam with Python/R