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You have a database that contains sales data. You plan to process the sales data by using two data streams named Stream1 and Stream2. Stream1 will be used for purchase order data. Stream2 will be used for reference data. The reference data is stored in CSV files. You need to recommend an ingestion solution for each data stream. What two solutions should you recommend? Each correct answer is a complete solution. NOTE: Each correct selection is worth one point.
Correct Answer: A,B
Explanation/Reference: Explanation: Stream1 - Azure Event Stream2 - Blob Storage Azure Event Hubs is a highly scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs can process and store events, data, or telemetry produced by distributed software and devices. Data sent to an event hub can be transformed and stored using any real-time analytics provider or batching/storage adapters. Event Hubs provides publish-subscribe capabilities with low latency at massive scale, which makes it appropriate for big data scenarios. Stream1, Stream2 - Blob Storage Stream Analytics has first-class integration with Azure data streams as inputs from three kinds of resources: Azure Event Hubs Azure IoT Hub Azure Blob storage These input resources can live in the same Azure subscription as your Stream Analytics job or a different subscription. References: https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/real-time-ingestion
