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Modified document and image filenames based on AnnaMHuff's comments
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articles/cosmos-db/mongodb/vcore/connect-from-databricks.md

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@@ -150,6 +150,7 @@ df_vcore.write.format("mongo").option("spark.mongodb.output.uri", connectionStri
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This command doesn't have an output as it writes directly to the collection. You can cross check if the record is updated using a read command.
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### Read data from Azure Cosmos DB for MongoDB vCore collection running an Aggregation Pipeline
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[!Note]
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[Aggregation Pipeline](../tutorial-aggregation.md) is a powerful capability that allows to preprocess and transform data within Azure Cosmos DB for MongoDB. It's a great match for real-time analytics, dashboards, report generation with roll-ups, sums & averages with 'server-side' data post-processing. (Note: there's a [whole book written about it](https://www.practical-mongodb-aggregations.com/front-cover.html)).
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