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Merge pull request #291512 from Albertyang0/2024_12-Monthly-broken-links-fix-PatAltimore
2024_12 - Fix monthly broken links - PatAltimore
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articles/iot-operations/connect-to-cloud/concept-dataflow-enrich.md

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You can enrich data by using the *contextualization datasets* function. When incoming records are processed, you can query these datasets based on conditions that relate to the fields of the incoming record. This capability allows for dynamic interactions. Data from these datasets can be used to supplement information in the output fields and participate in complex calculations during the mapping process.
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To load sample data into the state store, use the [state store CLI](https://github.com/Azure-Samples/explore-iot-operations/tree/main/tools/state-store-cli).
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To load sample data into the state store, use the [state store CLI](https://github.com/Azure-Samples/explore-iot-operations/tree/main/tools/statestore-cli).
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For example, consider the following dataset with a few records, represented as JSON records:
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articles/iot-operations/connect-to-cloud/howto-create-dataflow.md

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To enrich the data, first add reference dataset in the Azure IoT Operations [state store](../create-edge-apps/overview-state-store.md). The dataset is used to add extra data to the source data based on a condition. The condition is specified as a field in the source data that matches a field in the dataset.
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You can load sample data into the state store by using the [state store CLI](https://github.com/Azure-Samples/explore-iot-operations/tree/main/tools/state-store-cli). Key names in the state store correspond to a dataset in the dataflow configuration.
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You can load sample data into the state store by using the [state store CLI](https://github.com/Azure-Samples/explore-iot-operations/tree/main/tools/statestore-cli). Key names in the state store correspond to a dataset in the dataflow configuration.
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# [Portal](#tab/portal)
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