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Copy file name to clipboardExpand all lines: articles/iot-operations/connect-to-cloud/howto-dataflow-graphs-enrich.md
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Sometimes the incoming message doesn't contain everything you need. A temperature reading might arrive with a device ID, but the display name, location, and calibration offset live in a separate lookup table. Enrichment lets you pull that external data into your transform rules.
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For an overview of data flow graphs, see [Data flow graphs overview](concept-dataflow-graphs.md).
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## Prerequisites
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## Next steps
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- [Transform data with map](howto-dataflow-graphs-map.md)
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- [Filter and route data](howto-dataflow-graphs-filter-route.md)
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- [Aggregate data over time](howto-dataflow-graphs-window.md)
Copy file name to clipboardExpand all lines: articles/iot-operations/connect-to-cloud/howto-dataflow-graphs-filter-route.md
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Data flow graphs provide two ways to control which messages flow through your pipeline: **filter** transforms drop unwanted messages, and **branch** transforms route each message down one of two paths based on a condition. After branching, a **concat** transform merges the paths back together.
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For an overview of data flow graphs and how transforms compose in a pipeline, see [Data flow graphs overview](concept-dataflow-graphs.md).
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## Prerequisites
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---
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For the full list of operators and functions, see [Expressions reference](concept-dataflow-graphs-expressions.md).
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### Validate messages against a schema
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# [Operations experience](#tab/portal)
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To build this pipeline in the Operations experience:
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## Next steps
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- [Transform data with map](howto-dataflow-graphs-map.md)
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- [Aggregate data over time](howto-dataflow-graphs-window.md)
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- [Enrich with external data](howto-dataflow-graphs-enrich.md)
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- [Route messages to different topics](howto-dataflow-graphs-topic-routing.md)
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