Analyzing IoT Data Using Azure Stream Analytics

Lab Steps

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

The hands-on lab is part of these learning paths

DP-201 Exam Preparation: Designing an Azure Data Solution
course-steps 11 certification 1 lab-steps 4
DP-200 Exam Preparation: Implementing an Azure Data Solution
course-steps 11 certification 1 lab-steps 4
Big Data Analytics on Azure
course-steps 3 certification 1 lab-steps 1

Ready for the real environment experience?

Time Limit30m
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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

Learning paths12

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 Administrator (CKA), Certified Kubernetes Application Developer (CKAD), Linux Foundation Certified System Administrator (LFCS), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.