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IT & Software Other IT & Software Microsoft Azure

Real-Time Data Stream Processing In Azure

A deep dive into Big Data streaming in Azure using Event Hubs, Data Lakes and Azure Stream Analytics
Rating: 4.2 out of 54.2 (45 ratings)
156 students
Created by Hersh Bhasin
Last updated 12/2019
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

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

Requirements

  • Should have an Azure Portal account. A free Azure trial account will work.

Description

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.

Who this course is for:

  • Azure Developers and Big Data Engineers

Course content

3 sections • 9 lectures • 1h 14m total length

  • Preview03:27

  • Preview07:57
  • Preview03:52
  • Lab: Sending Events to an Event Hub
    24:37
  • Lab: Receiving Events from an Event Hub
    11:47
  • Lab: Event Hub Consumer Groups
    06:39
  • Lab: Capturing Event Data to a Data Lake
    03:57

  • Understanding Azure Stream Analytics
    02:49
  • Lab: Azure Stream Analytics
    09:41

Instructor

Hersh Bhasin
Vice President - Cloud Architecture, J.P. Morgan Chase
Hersh Bhasin
  • 4.2 Instructor Rating
  • 46 Reviews
  • 161 Students
  • 2 Courses

I am a published author and work as a Cloud Architect with J.P. Morgan Chase where I am part of the Enterprise Cloud Solutions Architecture team responsible for creating cloud architectural blueprints, guidance, Infrastructure as Code and best practices  for fostering cloud adoption across the three public cloud providers (AWS, Azure and Google).


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