Datasets & versions

A dataset is a curated, versioned view of your data, prepared so it can be analyzed and visualized. Where an asset holds your files, a dataset adds versioning and preprocessing: Dataerai analyzes each version to understand its structure so it’s ready to explore.

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Datasets and versions

A dataset is the logical identity of your data. Each time you provide new content, Dataerai adds a new version under the same dataset rather than creating a separate one — so v1, v2, and so on form a history. Each version is an immutable snapshot: once created, its data doesn’t change.

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The version lifecycle

When a version is created, Dataerai preprocesses it. You can watch its status as it moves through the pipeline: A failed version can be retried, which puts it back in the queue. Older versions can be deprecated when they’re no longer current.

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What you get when a version is Ready

Once a version reaches Ready, Dataerai has analyzed it so you can:

• See its inferred structure — understand your data.
• Explore it with built-in charts — visualize your data.

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Next steps