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Update analytical-store-change-data-capture.md
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articles/cosmos-db/analytical-store-change-data-capture.md

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[!INCLUDE[NoSQL, MongoDB](includes/appliesto-nosql-mongodb.md)]
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Change data capture (CDC) in [Azure Cosmos DB analytical store](analytical-store-introduction.md) allows you to efficiently consume a continuous and incremental feed of changed (inserted, updated, and deleted) data from analytical store. The change data capture feature of the analytical store is seamlessly integrated with Azure Synapse and Azure Data Factory, providing you with a scalable no-code experience for high data volume. As the change data capture feature is based on analytical store, it [doesn't consume provisioned RUs, doesn't affect your transactional workloads](analytical-store-introduction.md#decoupled-performance-for-analytical-workloads), provides lower latency, and has lower TCO.
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Change data capture (CDC) in [Azure Cosmos DB analytical store](analytical-store-introduction.md) allows you to efficiently consume a continuous and incremental feed of changed (inserted, updated, and deleted) data from analytical store. Seamlessly integrated with Azure Synapse and Azure Data Factory, it provides you with a scalable no-code experience for high data volume. As the change data capture feature is based on analytical store, it [doesn't consume provisioned RUs, doesn't affect your transactional workloads](analytical-store-introduction.md#decoupled-performance-for-analytical-workloads), provides lower latency, and has lower TCO.
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The change data capture feature in Azure Cosmos DB analytical store can write to various sinks using an Azure Synapse or Azure Data Factory data flow.
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