IT Skills     Cloud Computing and Virtualization     Microsoft     DP-203: Data Engineering on Microsoft Azure

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Azure Stream Analytics is a complex, serverless, and highly scalable processing engine that can be used to perform real-time analytics on multiple data streams. Alerts can be configured to forecast trends, trigger workflows, and detect irregularities.
In this course, you'll learn to use Azure Stream Analytics to process streaming data. You'll examine how to implement security, create user-defined functions, and optimize jobs for Azure Stream Analytics, as well as explore the available inputs and outputs. Finally, you'll learn how to create an Azure Stream Analytics job, create an Azure Stream Analytics dedicated cluster, run Azure Functions from Azure Stream Analytics jobs, and monitor Azure Stream Analytics jobs.
This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.

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Objectives

DP-203 - Data Engineering on Microsoft Azure: Stream Analytics discover the key concepts covered in this course describe how Azure Stream Analytics is used to process streaming data describe the available inputs that can be used with Azure Stream Analytics describe the available outputs that can be used with Azure Stream Analytics describe how to create user-defined functions for Azure Stream Analytics process data by using Spark structured streaming describe how to use Stream Analytics windowing functions set up and process time series data create a Stream Analytics job by using the Azure portal summarize the key concepts covered in this course