Exploring a baseline reference solution for H2O at scale

So, let's now explore how H2O-at-scale components benefit from participating in the H2O AI Cloud platform. To do so, let's first start with a baseline solution of H2O at scale outside of H2O AI Cloud. The baseline solution is shown in the following diagram. We will use this baseline to compare solutions where H2O at scale does integrate with AI Cloud components:

Figure 14.2 – Baseline solution for H2O at scale

Important Note

For this and all solutions in the chapter, it is assumed that the data scientist used H2O Enterprise Steam to launch an H2O-3 or H2O Sparkling Water environment. See Chapter 3, Fundamental Workflow – Data to Deployable Model, for an overview of this step.

A quick walkthrough of its solution flow is summarized as follows:

1. The data scientist imports a large dataset and uses it to build an ML model at scale. See the chapters in Part 2, Building...