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Real-Time Data Stream Processing In Azure

SynopsisReal-Time Data Stream Processing In Azure, available at $29.9...
Real-Time Data Stream Processing In Azure  No.1

Real-Time Data Stream Processing In Azure, available at $29.99, has an average rating of 4.1, with 9 lectures, based on 270 reviews, and has 1103 subscribers.

You will learn about Real time data stream processing in Azure using Event Hubs and Azure Stream Analytics. This course is ideal for individuals who are Azure Developers and Big Data Engineers It is particularly useful for Azure Developers and Big Data Engineers.

Enroll now: Real-Time Data Stream Processing In Azure

Summary

Title: Real-Time Data Stream Processing In Azure

Price: $29.99

Average Rating: 4.1

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

  • Real time data stream processing in Azure using Event Hubs and Azure Stream Analytics.
  • Who Should Attend

  • Azure Developers and Big Data Engineers
  • Target Audiences

  • Azure Developers and Big Data Engineers
  • In this course, I will give you the insight on thinking of data as an ever flowing river of events instead of thinking of it as a data island locked away in databases. With live labs, I will bring you up to speed with Azure event hubs. I will show you how to write c# console applications to send and receive data from event hubs. You will learn how to capture & archive event hub data to an Azure data lake. I will show you how to provision an Event Hub, a Data Lake and a SQL Server database in azure. You will get a deep understanding of Azure Stream Analytics and we will write an Analytics job  to stream live data from an event hub to a Sql Server database.

    Course Curriculum

    Chapter 1: Course Overview

    Lecture 1: Introduction

    Chapter 2: Data Ingestion With Azure Event Hubs

    Lecture 1: Understanding Event Hubs

    Lecture 2: Lab: Provisioning a Event Hub

    Lecture 3: Lab: Sending Events to an Event Hub

    Lecture 4: Lab: Receiving Events from an Event Hub

    Lecture 5: Lab: Event Hub Consumer Groups

    Lecture 6: Lab: Capturing Event Data to a Data Lake

    Chapter 3: Azure Stream Analytics

    Lecture 1: Understanding Azure Stream Analytics

    Lecture 2: Lab: Azure Stream Analytics

    Instructors

  • Real-Time Data Stream Processing In Azure  No.2
    Hersh Bhasin
    Vice President – Cloud Architecture, J.P. Morgan Chase
  • Rating Distribution

  • 1 stars: 5 votes
  • 2 stars: 13 votes
  • 3 stars: 49 votes
  • 4 stars: 102 votes
  • 5 stars: 101 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!