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Real-time Data Processing with Azure Stream Analytics

Video Description

Real-time data processing with Azure Stream Analytics

About This Video

  • Leverage Azure's fully-managed, scalable, real-time event processing engine to unlock deep insights from data
  • Utilize years of Microsoft research into developing highly tuned streaming engines for time-sensitive processing.
  • Implement Azure's simple, declarative model to build real-time data transformations for processing IoT streams, real-time data analysis, and more

In Detail

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.

Table of Contents

  1. Chapter 1 : Azure Stream Analytics and Interactive Data Analysis
    1. The Course Overview 00:05:18
    2. Real-time Data Processing with Azure 00:08:36
    3. Introduction to Azure Stream Analytics 00:13:17
    4. Integration of Big Data Lambda Architecture with Interactive Data Analysis 00:08:37
    5. Exploring Apache Storm and Azure Streaming Analysis 00:07:10
  2. Chapter 2 : Developing Real-time Event Processing with Azure Streaming
    1. Tools for Visual Studio for Creation of Azure Stream Analytics job 00:15:06
    2. reating Azure Stream Analytics Job Using Azure Portal 00:07:38
    3. Developing Azure Stream Analytics Job Using Azure Resource Manager Template 00:11:19
    4. Development of Streaming Job with Various Data Input and Output 00:09:47
  3. Chapter 3 : Integrating BI and Enhancing Features in Azure Stream Analytics
    1. Lap Around Stream Analytics – TSQL Language Reference 00:12:26
    2. Learning Common Query Patterns in Streaming Analytics-TSQL 00:08:32
    3. rocess Streaming Data Through Azure Stream Analytics with Power BI 00:11:26
    4. Application of Windowing Functions with Streaming Solution in Azure 00:11:07
  4. Chapter 4 : Designing and Managing Stream Analytics Job
    1. Utilizing Reference Data with Streaming Analytics 00:07:17
    2. Implementing Output of Stream Analytics to Azure Data Lake Store 00:08:21
    3. Connecting Output of Stream Analytics with Azure Functions 00:10:48
  5. Chapter 5 : Optimizing Intelligence in Azure Streaming
    1. JavaScript UDF Integration with Azure Stream Analytics -TSQL 00:06:15
    2. Utilizing Azure Machine Learning Integrated with Stream Analytics 00:08:12
    3. Application of .NET Management SDK with Streaming Solution in Azure 00:13:09