Dataset Operations

Aurora provides dataset-level operations for creating maps, charts, dashboards, views, and derived datasets directly from an existing dataset.

These actions are available from the More Actions menu on a dataset.

Overview

Dataset operations allow you to quickly create new analytical or spatial outputs without leaving the dataset context.

Available operations include:

These operations either create new Aurora content or generate new datasets derived from the original data.

Creates a new Aurora map using the selected dataset as a layer.

The map opens in Map Builder with the dataset already added.

Typical uses:

Creates a chart based on dataset attributes.

You can configure:

Charts created from datasets can be used in dashboards and map-linked analysis.

Creates a new dashboard with the dataset available for widgets.

The dataset can be used to:

This is the fastest way to begin dashboard creation from data.

Creates a filtered or derived view of the dataset.

Views allow you to:

Views reference the original dataset and update automatically when the source changes.

Creates a new dataset by clipping features to a selected spatial area.

Clipping:

Typical uses:

Creates a new dataset by dissolving geometries based on an attribute or merging all features.

Dissolve operations:

Typical uses:

Clip and Dissolve operations create new Aurora datasets.

These derived datasets:

Dataset operations are entry points into Aurora workflows.

From a dataset you can immediately create:

This enables rapid transition from data ingestion to visualization and analysis.