Real-time Data Processing with Azure Stream Analytics
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Real-time Data Processing with Azure Stream Analytics

Real-time data processing with Azure Stream Analytics
New
0.0 (0 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
2 students enrolled
Created by Packt Publishing
Last updated 9/2017
English
English [Auto-generated]
Current price: $10 Original price: $125 Discount: 92% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 3 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • A comprehensive introduction to real-time event processing with Azure Stream Analysis.
  • Azure Stream Analytics and Interactive Data Analysis
  • Developing real-time event processing with Azure streaming
  • Integrate BI and enhance features in Azure Stream Analytics
  • Design and manage Stream Analytics jobs
View Curriculum
Requirements
  • Some understanding of the basic machine learning concepts will be helpful.
Description

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 works as a big data and cloud consultant for a computer software giant has been using Microsoft Azure for the last 7+ years. She has been a technical reviewer for five books from Packt Publishing on various technologies such as Azure HDInsight, Hadoop Development, and Internet of Things & Decision Science.

Who is the target audience?
  • This course is ideal for analytics professionals looking to get familiar with Microsoft’s Azure Stream Analytics as quickly as possible. If you are looking for a resource that teaches you how to process continuos streams of IoT data in real-time, this video will also help you.
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Curriculum For This Course
19 Lectures
03:04:11
+
Azure Stream Analytics and Interactive Data Analysis
5 Lectures 42:55

This video provides an overview of the entire course.

Preview 05:17

This video gives us introductory analysis to real-time event processing with Azure data platform.

Real-time Data Processing with Azure
08:36

In this video, we will be introduced to Azure Stream Analytics.

Introduction to Azure Stream Analytics
13:16

In this video, we will discuss integration of big data Lambda pattern with Azure Streaming.

Integration of Big Data Lambda Architecture with Interactive Data Analysis
08:37

The aim of this video is to discuss the technical comparison between Apache Storm and Azure Streaming.

Exploring Apache Storm and Azure Streaming Analysis
07:09
+
Developing Real-time Event Processing with Azure Streaming
4 Lectures 43:48

In this video, we will discuss what are the tools required for Visual Studio for the creation of Azure Stream Analytics job.

Preview 15:05

The aim of this video is to explain how to create stream analytics job using Azure portal.

Creating Azure Stream Analytics Job Using Azure Portal
07:38

In this video, we will learn the development steps of Azure Stream Analytics using resource manager.

Developing Azure Stream Analytics Job Using Azure Resource Manager Template
11:19

The aim of this video is to explain how to implement streaming job with various data input and output.

Development of Streaming Job with Various Data Input and Output
09:46
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Integrating BI and Enhancing Features in Azure Stream Analytics
4 Lectures 43:30

This video discusses the lap around Stream Analytics – TSQL language reference.

Preview 12:26

This video gives us an idea about the common Query patterns in Streaming Analytics-TSQL.

Learning Common Query Patterns in Streaming Analytics-TSQL
08:31

In this video, we will see how to build visual dashboard using Power BI as output data sink of streaming job.

Process Streaming Data Through Azure Stream Analytics with Power BI
11:26

In this video, we will discuss what the Azure Stream Analytics Query language windowing functions are.

Application of Windowing Functions with Streaming Solution in Azure
11:07
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Designing and Managing Stream Analytics Job
3 Lectures 26:24

In this video, we will explore reference data stream in Stream Analytics.

Preview 07:16

In this video, we will implement output of stream analytics to Azure Data Lake Store.

Implementing Output of Stream Analytics to Azure Data Lake Store
08:20

This video will help you to get Azure Stream Analytics job output with Azure function.

Connecting Output of Stream Analytics with Azure Functions
10:48
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Optimizing Intelligence in Azure Streaming
3 Lectures 27:34

In this video, we will integrate JavaScript UDF with Stream Analytics.

Preview 06:14

This video will help you integrate Azure Machine Learning with Stream Analytics.

Utilizing Azure Machine Learning Integrated with Stream Analytics
08:11

In this video, we will explore .NET management SDK.

Application of .NET Management SDK with Streaming Solution in Azure
13:09
About the Instructor
Packt Publishing
3.9 Average rating
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58,973 Students
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Tech Knowledge in Motion

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.