Analyzing IoT Data Using Azure Stream Analytics

Lab Steps

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Logging in to the Microsoft Azure Portal
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Creating a Stream Analytics Job
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Configuring a Stream Analytics Job to Query for IoT Data
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Executing the Stream Analytics IoT Query

The hands-on lab is part of these learning paths

DP-203 Exam Preparation: Data Engineering on Microsoft Azure
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1
7
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DP-201 Exam Preparation: Designing an Azure Data Solution
13
1
5
Big Data Analytics on Azure
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2
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Ready for the real environment experience?

DifficultyBeginner
Time Limit30m
Students832
Ratings
4.7/5
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Description

Lab Overview

Azure Stream Analytics is a fully-managed service for analyzing real-time streaming data. A common use case for Stream Analytics is analyzing Internet of Things (IoT) device data. Stream Analytics accepts streaming input data sources from a variety of sources in Azure, including IoT Hubs. In this Lab, you will develop a Stream Analytics query that analyzes Internet of Things (IoT) sensor data to identify if there have been any IoT device failures.

Lab Objectives

Upon completion of this Lab you will be able to:

  • Create Stream Analytics jobs
  • Develop and test Stream Analytics queries

Lab Prerequisites

You should be familiar with:

Lab Environment

After completing the Lab instructions, the environment should look similar to:

About the Author
Students100117
Labs175
Courses9
Learning paths26

Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Security Specialist (CKS), Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.