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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
by Thomas LeBlanc
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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.

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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.

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