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learn-pr/wwl-databricks/ingest-data-into-unity-catalog/includes/2-ingest-data-lakeflow-connect.md

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@@ -4,6 +4,8 @@ Data engineers face a common challenge: getting data from diverse sources into a
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Lakeflow Connect is a collection of managed connectors in Azure Databricks that simplify data ingestion from external sources. Rather than writing custom extraction code, you configure pipelines through either a graphical interface or declarative definitions.
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:::image type="content" source="../media/2-understand-lakeflow-connect-pipelines.png" alt-text="Diagram explaining Lakeflow Connect pipelines." border="false" lightbox="../media/2-understand-lakeflow-connect-pipelines.png":::
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Each pipeline consists of three core components:
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- **Connection**: Stores credentials and endpoint information for the source system. You create connections once and reuse them across multiple pipelines.
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