Enterprise Steam Installation and Setup¶
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 applies to Administrators and describes how to install and start Enterprise Steam in a Hadoop environment and make it accessible to a set of users. The process includes uploading an H2O driver and adding users through either the built-in SQLite database or through an LDAP config file.
Note: Before you begin using Enterprise Steam, be sure that your minimum version of H2O is 126.96.36.199. 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.
- Installing and Upgrading Enterprise Steam
- Starting Enterprise Steam
- DAI Instances
- DAI Servers
- Python Environments
- Clusters and Notebooks