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Microsoft Certified: Azure Solutions Architect Expert · Microsoft
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who wants to use Synapse Spark to find a feature to improve their model and train that model without doing complex data engineering. They can also write the results of the model post inference into Azure Cosmos DB for real-time scoring on the data through Spark Synapse. https://learn.microsoft.com/en-us/azure/cosmos-db/synapse-link
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For processing data stored in the 'Contained' container of Cosmos DB in near-real-time (NRT) and outputting results to a data warehouse in Workspace1, leveraging an Apache Spark pool within Azure Synapse Analytics is highly recommended. This approach is particularly effective due to Apache Spark's robust in-memory processing capabilities, which can handle large volumes of data swiftly. Additionally, by utilizing Azure Synapse Link for seamless integration with Cosmos DB's analytical store, this solution ensures minimal data movement. This not only enhances performance by enabling direct real-time data access but also optimizes resource utilization and reduces latency, making it an ideal setup for real-time data analytics.