Real-Time Data Stream Processing In Azure

Name: Real-Time Data Stream Processing In Azure
Rating: 3.6 (251 reviews)

A deep dive into Big Data streaming in Azure using Event Hubs, Data Lakes and Azure Stream Analytics

(251 ratings)

1,044 students

Created by Hersh Bhasin

Last updated 12/2019

English

English [Auto], French [Auto],

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

Hersh Bhasin

Vice President - Cloud Architecture, J.P. Morgan Chase

3.6 Instructor Rating
251 Reviews
1,052 Students
1 Course

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).