You need to design an application that will analyze real-time data from financial feeds. The data will be ingested into Azure loT Hub. The data must be processed as quickly as possible in the order…

The correct answer is C. Azure Stream Analytics. Stream processing can be handled by Azure Stream Analytics. Azure Stream Analytics can run perpetual queries against an unbounded stream of data. These queries consume streams of data from storage or message brokers, filter and aggregate the data based on temporal windows, and…

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Question

You need to design an application that will analyze real-time data from financial feeds. The data will be ingested into Azure loT Hub. The data must be processed as quickly as possible in the order in which it is ingested. Which service should you include in the design?

Options

AAzure Event Hubs
BAzure Data Factory
CAzure Stream Analytics
DApache Kafka

How the community answered

(34 responses)

A
3% (1)
B
12% (4)
C
82% (28)
D
3% (1)

Explanation

Stream processing can be handled by Azure Stream Analytics. Azure Stream Analytics can run perpetual queries against an unbounded stream of data. These queries consume streams of data from storage or message brokers, filter and aggregate the data based on temporal windows, and write the results to sinks such as storage, databases, or directly to reports in Power BI. Stream Analytics uses a SQL-based query language that supports temporal and geospatial constructs, and can be extended using JavaScript. https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/real-time-processing

Topics

#Azure Stream Analytics#real-time processing#IoT Hub#financial data

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