# Overview

These pages explain how Nominal stores your data, the ways you can reach and review it, and how to shape it for the way you test.

[Organize and view your data](https://dev.nominal.io/platform/data-model/paradigms.md)
:   Start here. Pick the story closest to how you work and get an approach for organizing that data.

[Data model fundamentals](https://dev.nominal.io/platform/data-model/overview.md)
:   The structure of what Nominal stores, [time-series data](https://dev.nominal.io/platform/data-model.md#data-model-time-series) and the [metadata](https://dev.nominal.io/platform/data-model.md#data-model-metadata) that relates it to the physical world, and the approaches for applying it to your tests.

[The Nominal stack](https://dev.nominal.io/platform/stack.md)
:   The layers between your code and the data store: connectors for engineering tools, client libraries such as Python, Rust, and MATLAB, the gRPC and REST APIs they are built on, and SQL queries.

[Workbooks](https://dev.nominal.io/platform/workbooks.md)
:   Where you plot and review your data in the Nominal app, and the checklists that check it.

[Glossary](https://dev.nominal.io/platform/reference/glossary.md)
:   Short definitions of the terms used across Nominal.