Schedule materialization for a dataset
Materialize a dataset by scheduling materialization. The materialization schedule that you configure affects the data freshness for elements downstream. For more details, including limitations and best practices, see About materialization.
Requirements
- Write access must be enabled on your connection.
- To schedule materialization in a dataset, you must be assigned an account type with the Schedule materializations and Create, edit, and publish datasets permissions enabled.
- You must have Can Edit access to the dataset.
Create a materialization schedule for a dataset
To materialize a dataset:
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Open the dataset you want to materialize.
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Select the Materialization tab and click Create Schedule.
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In the Add Materialization Schedule modal, define a schedule to use to refresh the materialized data.
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Click Save.
The first materialization of the data begins immediately.
Review the status of a dataset materialization
If a dataset is materialized, you can see the materialization status in the dataset header:
- In the dataset header, click Info () to open the dataset information.
- In the Materialization section, review the status. To view more details, such as the last and next refresh date, hover over the status.
A user assigned the Admin account type can view the status and history of materializations from the Materialization tab at any time. See Manage materializations.
Run a materialization job for a dataset
To manually run a scheduled materialization, do the following:
- Open the dataset and select the Materialization tab.
- In the Schedule section, click Run Now.
Modify a dataset materialization schedule
To make changes to a dataset materialization schedule:
- Open the dataset and select the Materialization tab.
- In the Schedule section, click More > Edit Schedule.
- Define a new schedule.
- Click Save.
The materialization schedule changes immediately. The next materialization occurs at the next scheduled time.
Delete a dataset materialization schedule
To remove a materialization schedule for a dataset and delete the materialized data from the connected data platform:
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Open the dataset and select the Materialization tab.
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In the Schedule section, click More > Remove Schedule.
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In the confirmation that appears, select Remove.
Sigma automatically removes the materialized table from your warehouse. It can take up to 24 hours for the table to be deleted.
Updated about 1 month ago