Azure Stream Analytics offers a seamless integration with some native Azure services, such as Azure Event Hub, Azure IoT Hub, or Azure Blob Storage. Additionally, it can be easily configured to output data to an SQL database, Blob, or Event Azure Data Lake Store. To leverage those possibilities, you will have to define both input and output types, which you are interested in. This allows for data to be easily ingested (in the form of a stream), so a job, which you will write, can work on thousands of events, analyzing and processing them. In this section, you will learn how to get started with Azure Stream Analytics and to define both the inputsand outputs.
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Kamil Mrzygłód is a technical lead and technology advisor, working with multiple companies on designing and implementing Azure-based systems and platforms. He's a former Microsoft Azure Microsoft Most Valuable Professional (MVP) and certified trainer, who shares his knowledge via various channels, including conference speeches and open source projects and contributions. Kamil lives in Poland with his two cats and one dog, dedicating some of his time to video games, cooking, and traveling.
Read more about Kamil Mrzygłód
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Kamil Mrzygłód is a technical lead and technology advisor, working with multiple companies on designing and implementing Azure-based systems and platforms. He's a former Microsoft Azure Microsoft Most Valuable Professional (MVP) and certified trainer, who shares his knowledge via various channels, including conference speeches and open source projects and contributions. Kamil lives in Poland with his two cats and one dog, dedicating some of his time to video games, cooking, and traveling.
Read more about Kamil Mrzygłód