Understanding Azure Stream Analytics
Offered By: Pluralsight
Course Description
Overview
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.
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.
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.
Syllabus
- Course Overview 1min
- Introducing this Course 1min
- Understanding Complex Event Processing and Azure Stream Analytics 30mins
- Querying Data Streams 47mins
- Configuring Inputs and Outputs 29mins
- Analyzing Output Data 26mins
Taught by
Alan Smith
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