Update anomaly-detection.md

Lines 19, 150: Changed "CosmosDB" to "Cosmos DB" as flagged by Acrolinx.

Author: PMEds28

articles/cognitive-services/big-data/recipes/anomaly-detection.md

@@ -16,7 +16,7 @@ ms.custom: devx-track-python
 
 # Recipe: Predictive maintenance with the Cognitive Services for big data
 
-This recipe shows how you can use Azure Synapse Analytics and Cognitive Services on Apache Spark for predictive maintenance of IoT devices. We'll follow along with the [CosmosDB and Synapse Link](https://github.com/Azure-Samples/cosmosdb-synapse-link-samples) sample. To keep things simple, in this recipe we'll read the data straight from a CSV file rather than getting streamed data through CosmosDB and Synapse Link. We strongly encourage you to look over the Synapse Link sample.
+This recipe shows how you can use Azure Synapse Analytics and Cognitive Services on Apache Spark for predictive maintenance of IoT devices. We'll follow along with the [Cosmos DB and Synapse Link](https://github.com/Azure-Samples/cosmosdb-synapse-link-samples) sample. To keep things simple, in this recipe we'll read the data straight from a CSV file rather than getting streamed data through Cosmos DB and Synapse Link. We strongly encourage you to look over the Synapse Link sample.
 
 ## Hypothetical scenario
 
@@ -147,4 +147,4 @@ If successful, your output will look like this:
 
 ## Next steps
 
-Learn how to do predictive maintenance at scale with Azure Cognitive Services, Azure Synapse Analytics, and Azure CosmosDB. For more information, see the full sample on [GitHub](https://github.com/Azure-Samples/cosmosdb-synapse-link-samples).
+Learn how to do predictive maintenance at scale with Azure Cognitive Services, Azure Synapse Analytics, and Azure Cosmos DB. For more information, see the full sample on [GitHub](https://github.com/Azure-Samples/cosmosdb-synapse-link-samples).