Building Multi-Platform Data Apps With Modular Runtime Architecture (Part 2)
In Part 1, we explored what data apps are, why they're becoming the preferred way to bring analytics into the flow of work, and how traditional tightly coupled architectures struggle to scale across platforms. We also introduced the Modular Runtime Environment (MRTE), a patented architecture that separates data processing, visualization, and interaction into independent layers connected through a message-driven runtime.
In this article, we'll go one level deeper and examine how those layers communicate in practice. We'll follow the lifecycle of a user interaction—from a click or tap to data retrieval, state updates, and content rendering—and see how the message-based design enables highly interactive, scalable data applications that can run consistently across web, mobile, and other platforms.
How the Message Flow between layers
MRTE message flow diagram.
When a user interacts with a visualization — say, tapping a bar in a chart on a mobile device — the Interaction...
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