Featured resource
2025 Tech Upskilling Playbook
Tech Upskilling Playbook

Build future-ready tech teams and hit key business milestones with seven proven plays from industry leaders.

Check it out
  • Course
    • Libraries: If you want this course, consider one of these libraries.
    • Cloud
    • Data

Design Principles for Implementing Stream Processing Solution

This course will teach you design principles for Azure services that ingest streaming data.

Thomas LeBlanc - Pluralsight course - Design Principles for Implementing Stream Processing Solution
Thomas LeBlanc
What you'll learn

This course will look at consuming a stream of data in Azure. In this course, Design Principles for Implementing Stream Processing Solutions, you will learn design principles for Azure services that ingest streaming data. First, you will explore the Azure services to connect to stream processing like Event Hub. Next, you will discover how to ingest streaming data with Data Factory and Databricks. Finally, you will learn the design and test methodologies for cleansing the stream data that loads into analytics engines like Azure Stream Analytics. This will help with principles for machine and deep learning models. When you’re finished with this course, you’ll have the skills and knowledge of streaming design principles needed to create and manage a streaming solution.

Table of contents

About the author
Thomas LeBlanc - Pluralsight course - Design Principles for Implementing Stream Processing Solution
Thomas LeBlanc

Microsoft Data Platform MVP specializing in SQL Server, Microsoft Business Intelligence (SSIS, SSAS & SSRS) and Power BI.

Get access now

Sign up to get immediate access to this course plus thousands more you can watch anytime, anywhere.

Get started with Pluralsight