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Azure Stream Analytics - End-to-End Analytics Solutions!
Rating: 3.4 out of 5(21 ratings)
174 students

Azure Stream Analytics - End-to-End Analytics Solutions!

Understand the development aspects of Azure Stream analytics to build end-to-end, real-time event processing solutions!
Created byPackt Publishing
Last updated 11/2018
English

What you'll learn

  • Develop real-time event processing with Azure streaming.
  • Integrate BI and enhance features in Azure Stream Analytics.
  • Design and manage Stream Analytics jobs.
  • Build end to end social media analytics solutions with Azure Stream Analytics.
  • Build end-to-end real-time IoT solutions using Azure Stream Analytics.
  • Implement real-time fraud detection using Azure Stream Analytics with Cortana

Course content

2 sections • 39 lectures • 6h 31m total length

  • The Course Overview5:17

    This video provides an overview of the entire course. 

  • Real-time Data Processing with Azure8:36

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

    • Step by step guidance on traditional Analytics 

    • Shifting to a Streaming data solution

    • Complement existing analytics with streaming and description of scenarios of real-time analytics

     

  • Introduction to Azure Stream Analytics13:16

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

    • Understand Microsoft Azure real-time Analytics solution layers

    • Explore the benefits and learn from the demo on provisioning Streaming Analytics with Azure portal

    • Understand development tools analysis for Stream Analytics jobs

  • Integration of Big Data Lambda Architecture with Interactive Data Analysis8:37

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

    • Learn the basics of data analytics pipelines on Azure

    • Explore the Lambda architecture and Microsoft Azure

    • Understand the analysis of Lambda-batch processing vs interactive data processing

  • Exploring Apache Storm and Azure Streaming Analysis7:09

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

    • Explore Storm with Azure Streaming and learn the  differences of each platform

    • Know the data sources and outputs and authoring for each platform

    • Understand the advanced management and ops features

  • Tools for Visual Studio for Creation of Azure Stream Analytics job15:05

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

    • Explore the steps involved in implementing Stream Analytics jobs using Tools for Visual Studio

    • Configure and deploy Stream Analytics job

    • Test Stream Analytics locally and test Stream Analytics job

  • Creating Azure Stream Analytics Job Using Azure Portal7:38

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

    • Explore Microsoft data platform architecture

    • Understand the Benefits and watch the demo on  provisioning Streaming Analytics with Azure portal

    • Study the development structure of a Stream Analytics  job

  • Developing Azure Stream Analytics Job Using Azure Resource Manager Template11:19

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

    • Learn about the Azure Quickstart templates

    • Provision of Stream Analytics using ARM templates

    • Monitor Stream Analytics job using resource manager

  • Development of Streaming Job with Various Data Input and Output9:46

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

    • Explore various Stream Analytics data input types –  data stream and reference data

    • Configure various data input and output for Stream  Analytics job

    • Configure output data sinks with Azure Stream Analytics  job

  • Lap Around Stream Analytics – TSQL Language Reference12:26

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

    • Understand the TSQL built-in functions in brief

    • Explore data types in Azure Stream Analytics Query language

    • Learn the Query language elements in stream analytics  and event delivery guarantees

  • Learning Common Query Patterns in Streaming Analytics-TSQL8:31

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

    • Explore the Query examples for common stream analytics usage patterns

    • Understand the data type conversions

    • Learn various Query examples on ASA-SQL Query patterns

  • Process Streaming Data Through Azure Stream Analytics with Power BI11:26

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

    • Configure the Power BI output properties

    • Explore data type conversion from ASA to Power BI

    • Learn from the real life demo on implementation of real time analytics using Azure Streaming and Power BI

  • Application of Windowing Functions with Streaming Solution in Azure11:07

    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

  • Utilizing Reference Data with Streaming Analytics7:16

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

    • Explore how reference data stream is used as input to Stream Analytics

    • Configure reference data with Azure Streaming

    • Watch the demo on Azure blob storage and explore Stream Analytics job with reference data

  • Implementing Output of Stream Analytics to Azure Data Lake Store8:20

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

    • Overview on Azure Data Lake Store output of Stream Analytics 

    • Authorize Azure Data Lake Store account and configure it

    • Configure ASA with Azure Data Lake Store

  • Connecting Output of Stream Analytics with Azure Functions10:48

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

    • Overview of Azure architecture and explore Azure function using Redis cache

    • Explore the Azure functions

    • Watch and learn from a real life fraud detection demo on  implementation of Stream Analytics output with Azure function using  Redis cache

  • JavaScript UDF Integration with Azure Stream Analytics -TSQL6:14

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

    • Explore Stream Analytics and JavaScript type conversion

    • Add JavaScript UDF with Stream Analytics

    • Learn to call JavaScript UDF from Stream Analytics TSQL Query

  • Utilizing Azure Machine Learning Integrated with Stream Analytics8:11

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

    • Overview on Azure Machine Learning concepts

    • Configure Stream Analytics job with Azure ML

    • Integrate Azure ML UDF with Stream Analytics integration

  • Application of .NET Management SDK with Streaming Solution in Azure13:09

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

    • Learn to manage namespaces of setup and running Stream Analytics jobs using API

    • Explore setup project and  create Stream Analytics management client using API

    • Learn to create input and output transformation of jobs using REST API

Requirements

  • Some understanding of 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. If you are an analytics professional looking to get familiar with Microsoft’s Azure stream analytics, then this Course is perfect for you!

This comprehensive 2-in-1 course is concise and appropriate for evaluating deep aspects of building real-world data-centric and data processing with the Azure Data Platform! You’ll begin with implementing Azure's simple, declarative model to build real-time data transformations for processing IoT streams, real-time data analysis, and more! Understand the development aspects of Azure Stream analytics to build real-time event processing solutions. Finally, you’ll build end-to-end analytics solutions with Azure Stream Analysis!

By the end of the course, you’ll understand the development aspects of Azure Stream analytics to build end-to-end, real-time event processing solutions!

Contents and Overview

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Real-time Data Processing with Azure Stream Analytics, covers real-time data processing with Azure Stream Analytics. 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.

The second course, Managing and Monitoring Streaming Solutions in Azure, covers the development aspects of Azure Stream analytics to build real-time event processing solutions. This course will give you a good understanding of the development aspects of Azure Stream analytics to build real-time event processing solutions. The course mainly focuses on monitoring scaling aspects to increase throughput in your streaming jobs and supplies a varied troubleshooting guide for big data developers/architects. The course provides end-to-end demonstrations for solutions to real-world business problems related to Internet of Things and fraud detection scenarios with the help of Microsoft Cortana Intelligence Gallery.

By the end of the course, you’ll understand the development aspects of Azure Stream analytics to build end-to-end, real-time event processing solutions!

About the Authors

●  Anindita Basak is working as Big Data & Cloud Architect for one of Computer Software giant & working with Microsoft Azure for last 8+ years. She has worked with various teams of Microsoft as FTE in the role of Azure Development Support Engineer, Pro-Direct Delivery Manager, and Partner Technical Consultant. She has been technical reviewer for five books from Packt Publisher on Azure HDInsight, SQL Server Business Intelligence, and Hadoop Development & Smart Learning with Internet of Things & Decision Science. Recently, she authored two video courses on Azure Stream Analytics from Packt Publishing.

Who this course is for:

  • Big data developers, data analysts, data scientists, and Azure developers who are looking to get familiar with Microsoft’s Azure Stream Analytics and want to develop a real-time event processing solutions!

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