Processing Real-Time Data Streams in Azure


AmicusKOI
Enrollment in this course is by invitation only

About this course

Want to capture and process real-time data in the cloud?

This data analysis course teaches you how to use Microsoft Azure technologies like Event Hubs, IoT Hubs, and Stream Analytics to build real-time Internet-of-Things (IoT) solutions at scale.

Note: To complete this course, you will need a Microsoft Azure subscription. You can sign up for a free trial subscription at http://azure.microsoft.com, or you can use your existing subscription. The labs have been designed to minimize the resource costs required to complete the hands-on activities.

Please Note: Learners who successfully complete this course can earn a CloudSwyft digital certificate and skill badge - these are detailed, secure and blockchain authenticated credentials that profile the knowledge and skills you’ve acquired in this course.

What you'll learn

  • Capturing real-time data with Azure Event Hubs and IoT Hubs
  • Processing real-time data with Azure Stream Analytics
  • Aggregating data in temporal windows
  • Monitoring streaming solutions in Azure

Course Syllabus

  • Module 1: Getting Started with Azure Event Hubs and IoT Hubs
  • Module 2: Using Azure Stream Analytics
  • Module 3: Aggregating Data in Temporal Windows
  • Module 4: Monitoring a Streaming Solution

Meet the instructors

Graeme Malcolm

Graeme Malcolm

Senior Content Developer
Microsoft Learning Experiences

Graeme has been a trainer, consultant, and author for longer than he cares to remember, specializing in SQL Server and the Microsoft data platform. He is a Microsoft Certified Solutions Expert for the SQL Server Data Platform and Business Intelligence. After years of working with Microsoft as a partner and vendor, he now works in the Microsoft Learning Experiences team as a senior content developer, where he plans and creates content for developers and data professionals who want to get the best out of Microsoft technologies.

  1. Course Number

    DAT223.2x
  2. Classes Start

  3. Classes End

  4. Estimated Effort

    Total 12 to 16 hours