Real-time Data Processing with Azure Stream Analytics

Real-time data processing with Azure Stream Analytics


What's Inside

Microsoft Azure is a very popular cloud computing service used by many organizations around the world. Its latest analytics offering—Stream Analytics—allows you to process and acquire actionable insights from different kinds of data in real-time. This video is your guide to understanding the basics of how Azure Stream Analytics works, and then building your own analytics solution using its capabilities. You will start by learning what stream analytics is, and why it is a popular choice for acquiring real-time insights from data. Then you will be introduced to Azure Stream Analytics, and learn how you can use the tools and functions in Azure to develop your own Streaming Analytics. During the course of the video, you will build streaming solutions for the IoT, fraud detection, real-time event processing, and more. The video also shows you how you can manage, monitor, and scale your solution for optimal performance. By the end of this tutorial, you will have mastered using Azure Stream Analytics to develop an efficient analytics solution that can work with any type of data.

About the Author

Anindita Basak has been working as a big data and cloud consultant for a computer software giant and has been working with Microsoft Azure for the last 7+ years. She has been a technical reviewer for Packt Publishing on Azure HDInsight, Hadoop Development, and Smart Learning with Internet of Things & Decision Science.

Course Curriculum

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19 Lectures
2+ Hours of Video
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Packt Publishing

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 4,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

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