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Destinations define where a hosted extractor writes data to within CDF. Each destination specifies the target CDF resource type (such as time series, events, or raw tables). You configure destinations to control how extracted data is stored and organized in CDF.

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What destinations are

A destination is a configuration that tells the extractor where to write extracted data. It specifies the CDF resource type (for example, time series, events, raw tables, or data model instances) and any target-specific settings such as data set IDs or default metadata.

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Supported destination types

Destinations can target various CDF resource types, including time series, events, assets, raw tables, and data model instances. Each type has its own configuration options—you specify the appropriate settings when creating the destination.
Ensure you have write permissions to the target CDF resources before configuring a destination.

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Creating and managing destinations

You create destinations via the API by specifying the resource type and required target parameters. Destinations are linked to jobs through mappings, which define how source fields map to destination properties. You can update or delete destinations when your extraction requirements change.
Last modified on April 23, 2026