Your friend is new to the task and is asking you to advise which Azure product is the best choice for an ingestion point for data streaming in an event processing solution that utilizes static data as a source.
Which of the following would you advise to your friend?
Click on the arrows to vote for the correct answer
A. B. C. D. E.Correct Answer: B
Azure Blob storage offers an ingestion point for data streaming in an event processing solution that utilizes static data as a source.
Option A is incorrect.
Azure Event Hub is a large data streaming platform and event ingestion service, that can be used to feed events from event producers into Azure Stream Analytics.
Option B is correct.
Azure Blob storage offers an ingestion point for data streaming in an event processing solution that utilizes static data as a source.
Option C is incorrect.
Azure Cosmos Database is a fully managed NoSQL database for the development of modern applications.
It can be utilized for storing the output of data stream processing in Azure Stream Analytics.
Option D is incorrect.
Power BI provides a platform to visualize and analyze the aggregated data in near-real-time.
Azure Stream Analytics can target Power BI as an output destination.
Option E is incorrect.
Azure IoT Hub is not the right choice.
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Based on the given scenario, where the data streaming is required to be ingested in an event processing solution that utilizes static data as a source, the best Azure product to advise to your friend would be Azure Event Hub.
Here's a detailed explanation of why:
A. Azure Event Hub: This Azure product is a highly scalable and real-time data ingestion service that can intake millions of events per second. It is an ideal choice for event-based architectures and scenarios where low latency and high throughput are critical. Event Hub can also work with other Azure services like Azure Stream Analytics for processing and analyzing the ingested data in real-time.
B. Azure Blob Storage: This Azure product is used for storing unstructured data like text, images, videos, and audio files. It is a cost-effective storage solution and can handle large volumes of data. However, Blob Storage is not an ideal choice for data streaming and real-time ingestion scenarios.
C. Azure Cosmos DB: This Azure product is a globally distributed, multi-model database service. It is designed to handle large volumes of structured and semi-structured data. Cosmos DB provides multiple APIs for accessing the data, including SQL, MongoDB, Cassandra, and Azure Table Storage. However, Cosmos DB is not an ideal choice for data streaming and real-time ingestion scenarios.
D. Power BI: This Azure product is a business analytics service that provides interactive visualizations and reports. It is used for analyzing and sharing data insights with stakeholders. However, Power BI is not an ingestion point for data streaming and real-time ingestion scenarios.
E. Azure IoT Hub: This Azure product is a fully managed service for managing, monitoring, and ingesting IoT device data. It provides device-to-cloud and cloud-to-device communication protocols and supports different IoT device platforms and programming languages. However, since the scenario involves static data as a source, IoT Hub is not an ideal choice.
In conclusion, based on the given scenario, Azure Event Hub would be the best choice for an ingestion point for data streaming in an event processing solution that utilizes static data as a source.