Book Image

Real-time Data Processing with Azure Stream Analytics [Video]

By : Anindita Basak
Book Image

Real-time Data Processing with Azure Stream Analytics [Video]

By: Anindita Basak

Overview of this book

<p>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.</p> <h1>Style and Approach</h1> <p>The course is concise and appropriate for evaluating deep aspects of building real-world data-centric and data processing with Azure Data Platform.</p>
Table of Contents (5 chapters)
Chapter 3
Integrating BI and Enhancing Features in Azure Stream Analytics
Content Locked
Section 4
Application of Windowing Functions with Streaming Solution in Azure
In this video, we will discuss what the Azure Stream Analytics Query language windowing functions are. - Get a basic understanding of window functions - Explore different types of Window functions such as Tumbling window, Hopping window and Sliding window - Learn from the Demo on each and every window functions