CloudAcademy

Analyzing IoT Data Using Azure Stream Analytics

The hands-on lab is part of this learning path

Big Data Analytics on Azure

course-steps 2 certification 1 lab-steps 2

Lab Steps

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

Ready for the real environment experience?

DifficultyBeginner
Duration30m
Students43

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

Students6940
Labs59
Courses3
Learning paths2

Logan has been involved in software development and research for over eleven years, including six years in the cloud. He is an AWS Certified DevOps Engineer - Professional, MCSE: Cloud Platform and Infrastructure, and Certified Kubernetes Administrator (CKA). He earned his Ph.D. studying design automation and enjoys all things tech.