Real-Time Data Stream Processing in Azure

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Delve into big data streaming with Azure using Event Hubs, Data Lake, and Azure Stream Analytics.

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17 on-demand videos & exercises
Level: Beginner
1hr 14mins
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What to know about this course

A modern digital company captures a large amount of data every day. This data gets locked in data islands such as caches, queues, and logs, and extracting this data and making it useful poses a major challenge. Real-time data processing is the most effective alternative to traditional extract, transform, and load (ETL) processes. This course will help you to think of data as an ever-flowing stream of events instead of data as islands locked away in databases.  This course employs live labs to get you up to speed with Azure Event Hubs and teach you how to create C# console applications for sending and receiving data from Event Hubs. As you advance, you'll learn how to capture and archive data from Azure Event Hubs to Azure Data Lake. The subsequent videos will show you how to provision Event Hubs, Data Lake, and SQL Server databases in Azure. Toward the end of the course, you'll write an analytics job to stream live data from an event hub to a SQL Server database. 

By the end of this course, you'll have developed a solid understanding of how to stream big data using Azure Stream Analytics.  All the codes and supporting files for this course will be available at-

Who's this course for?

This course is for Azure developers and big data engineers looking to change their approach to data processing. To take this course, you should have an Azure portal account. A free Azure trial account will also work.

What you'll learn

  • Gain a thorough understanding of Azure Stream Analytics.
  • Discover how to ingest data using Azure Event Hubs.
  • Find out how to archive data from Event Hubs to Azure Data Lak.
  • Provision Event Hubs, Data Lake, and SQL Server in Azure.
  • Listen to an event hub and stream the data to a SQL Server table.
  • Communicate with event hubs for effortless data transfer.
  • Discover how event hub groups work.

Key Features

  • Learn to think of data as an ever-flowing stream of events.
  • Discover how to harness the power of data events using Azure Stream Analytic.
  • Get up to speed with Azure Event Hubs.

Course Curriculum

About the Author

Hersh Bhasin

Hersh Bhasin is a published author and work as a Cloud Architect with J.P. Morgan Chase where he is 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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