Machine Learning at Scale with H2O

Chapter 12: The Enterprise Architect and Security Views

H2O at Scale is used to build state-of-the-art machine learning (ML) models against large-to-massive volumes of data on enterprise systems. Enterprise systems are complex integrations of diverse components that work together under common architecture and security principles. H2O at Scale needs to fit into this ecosystem in expected, secure, and cohesive ways. In this chapter, we will examine H2O at Scale architecture and security attributes in detail to understand how H2O software deploys to the enterprise, integrates with well-known frameworks, implements extensive security capabilities, and generally plays nicely in enterprise systems.

In this chapter, we will cover the following main ...