Merge pull request #232319 from seesharprun/cosmos-analytical-cdc-update

Cosmos DB | Updated CDC article text and diagram

Author: Stacyrch140

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

@@ -16,6 +16,8 @@ ms.date: 03/23/2023
 
 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.
 
+Included here's a diagram of change data capture (CDC) with Azure Cosmos DB analytical store. For more information on supported sink types in a mapping data flow, see [data flow supported sink types](../data-factory/data-flow-sink.md#supported-sinks).
+
 :::image type="content" source="media\analytical-store-change-data-capture\overview-diagram.png" alt-text="Diagram of the analytical store in Azure Cosmos DB and how it, with change data capture, can write to various first and third-party target services.":::
 
 In addition to providing incremental data feed from analytical store to diverse targets, change data capture supports the following capabilities:
@@ -75,7 +77,7 @@ You can use analytical store change data capture, if you're currently using or p
 
 ### Incremental feed to analytical platform of your choice
 
-change data capture capability enables end-to-end analytical story providing you with the flexibility to use Azure Cosmos DB data on analytical platform of your choice seamlessly. It also enables you to bring Cosmos DB data into a centralized data lake and join with data from diverse data sources. For more information, see [supported sink types](../data-factory/data-flow-sink.md#supported-sinks). You can flatten the data, apply more transformations either in Azure Synapse Analytics or Azure Data Factory.
+Change data capture capability enables an end-to-end analytical solution providing you with the flexibility to use Azure Cosmos DB data with any of the supported sink types. For more information on supported sink types, see [data flow supported sink types](../data-factory/data-flow-sink.md#supported-sinks). Change data capture also enables you to bring Azure Cosmos DB data into a centralized data lake and join the data with data from other diverse sources. You can flatten the data, partition it, and apply more transformations either in Azure Synapse Analytics or Azure Data Factory.
 
 ## Change data capture on Azure Cosmos DB for MongoDB containers