- Stay within resource usage requirements.
- Do not engage in or encourage activity that is illegal.
- Do not engage in cryptocurrency mining.
The hands-on lab is part of these learning paths
Ready for the real environment experience?
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.
Upon completion of this Lab you will be able to:
- Create Stream Analytics jobs
- Develop and test Stream Analytics queries
You should be familiar with:
- Basic SQL knowledge is helpful but not strictly required
- Completion of the Introduction to Azure Stream Analytics course is recommended
After completing the Lab instructions, the environment should look similar to:
July 18, 2022 - Updated screenshots & instructions for the latest UI experience.
September 22nd, 2021 - Updated screenshots and instructions to reflect the latest UI experience.
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.