Use Map Datasets
Datasets in Datascape are accessed and managed directly from the Left Side Panel of the map interface. By toggling datasets on or off, users can control which datasets are visible on the map for analysis and visualization. It’s important to note that enabling a dataset initiates compute usage from the user’s Snowflake account, so datasets should be toggled on only when needed.
How to View a Dataset on the Map
Locate the Dataset
Open the Left Side Panel:
On the map interface, find the Left Side Panel, which contains the list of enabled datasets for the current map template.
Identify the Dataset Card:
Each dataset is represented as a card in the panel, displaying the dataset’s name and additional details like styling or layer settings.
Toggle the Dataset
Turn On the Dataset:
Locate the toggle switch on the dataset card.
Click the toggle to turn the dataset on and make it visible on the map.
Observe the Map Update:
The map will dynamically update to display the dataset based on its styling and configuration.
Turn Off the Dataset:
To hide the dataset, click the toggle again to turn it off.
Monitor Compute Usage
Snowflake Integration:
Enabling a dataset triggers compute usage from your Snowflake account.
This means resources are allocated to load and process the dataset for visualization on the map.
Note: Be mindful of compute usage, especially when working with large datasets or multiple layers. A separate article will provide detailed information on managing compute usage in Datascape.
Best Practices for Viewing Datasets
Enable Only When Needed:
Toggle datasets on only when actively analyzing or visualizing them to minimize compute usage.
Combine Layers Strategically:
Layer datasets thoughtfully to avoid unnecessary complexity and optimize resource utilization.
Check Dataset Configurations:
Ensure datasets are styled and configured correctly for clear and effective visualization.
FAQs
The Left Side Panel in Datascape offers a simple yet powerful way to control dataset visibility on the map. By managing toggles thoughtfully, you can create dynamic visualizations while optimizing compute usage.
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