Azure Stream Analytics brings complex event processing to the Azure cloud platform. This course will teach you how Stream Analytics jobs can be integrated with other Azure services, and used to process event and telemetry streams.
Understanding Complex Event Processing and Azure Stream Analytics
Querying Data Streams
Configuring Inputs and Outputs
Analyzing Output Data
Jul 17, 2017
Event-based applications, internet of things projects, and online games can generate a vast amount of event and telemetry data. Querying and analyzing these event streams and being able to provide updates and visualization in real-time will add enormous value to your solutions. In this course, Understanding Azure Stream Analytics, you'll explore the functionality of Azure Stream Analytics, creating SQL like queries to analyze telemetry and event data. First, you'll learn how to integrate these query jobs with other Azure services so that they can receive telemetry from a driving game, and send the query results to a number of different services. Next, you'll explore data and business intelligence tools to visualize the output data created by stream analytics. Finally, you'll dive into a scenario for this course, which will use telemetry data created during the Global Azure Bootcamp racing game lab to provide real-world telemetry and lap data for examples. By the end of this course, you'll have the necessary knowledge to leverage Azure Stream Analytics in messaging and telemetry.
Alan Smith is a Windows Azure developer, trainer, mentor and evangelist at Active Solution in Stockholm. He has a strong hands-on philosophy and focusses on embracing the power and flexibility of cloud computing to deliver engaging and exciting demos.
Course Overview Hello everyone, my name is Alan Smith, and welcome to my course on Understanding Azure Stream Analytics. I work as a senior consultant at Active Solutions Stockholm in Sweden. Event-based applications in terms of things projects and online games, can generate a vast amount of event and telemetry data. Querying and analyzing theses streams and being able to provide updates and visualizations in real time will add enormous value to our solutions. In this course, we're going to explore the functionality of Azure Stream Analytics by creating SQL-like queries to analyze telemetry and event data. We'll then integrate these query jobs with other Azure services so that they receive telemetry from a driving game and send the query results to a number of different services. To round off the course, we will use data and business intelligence tools to visualize the output data created by Stream Analytics. Some of the major topics that we will cover include complex event processes scenarios, querying event streams with Azure Stream Analytics, integrating Stream Analytics with other event sources, and visualizing event-based output data. By the end of this course, you'll know how to leverage Azure Stream Analytics in messaging and telemetry scenarios. Before beginning this course, you should be familiar with the basics of writing SQL queries.