Handling Streaming Data with Azure Event Hub
Course info
Course info
Description
Processing streaming data often requires low latencies and scalability. In this course, Handling Streaming Data with Azure Event Hub, you’ll gain the ability to use Azure Event Hubs to receive and process events in real-time. First, you’ll learn how Azure Event Hubs is designed and how it compares to other tools like Kafka. Next, you’ll see how to send and receive events. Finally, you’ll understand how to extract the data for streaming analysis or archiving. By the end of this course, you’ll know what you need to start using Azure Event Hubs.
About the author
Starting out as an accidental DBA and developer, Eugene Meidinger now focuses primarily on BI consulting. He has been working with SQL Server for five years now, and is certified in Querying and Administering SQL Server 2012. He regularly presents at various SQL Saturday events.
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Section Introduction Transcripts
Course Overview
Hi, everyone. My name is Eugene Meininger and welcome my course handling streaming data with Azure event. I'm an independent business intelligence consultant, and in this course, we're gonna learn how toe handle rapidly streaming event data. Some of the major topics that we will cover include messaging, architecture, creating and consuming event messages and extracting events for analytics. By the end of this course, you will know how to scale of Lee Process streaming data with azure event hubs before beginning the course. You should be familiar with azure in general. I hope you'll join me on this journey to learn how to make the most of your data with the handling. Streaming data with Azure event, of course at Pluralsight.