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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.

Beginner
33m
(40)

Created by Thomas LeBlanc

Last Updated Aug 23, 2024

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  • Course

Design Principles for Implementing Stream Processing Solution

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

Beginner
33m
(40)

Created by Thomas LeBlanc

Last Updated Aug 23, 2024

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This course is included in the libraries shown below:

  • Cloud
  • Data
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.

Design Principles for Implementing Stream Processing Solution
Beginner
33m
(40)
Table of contents

About the author
Thomas LeBlanc - Pluralsight course - Design Principles for Implementing Stream Processing Solution
Thomas LeBlanc
21 courses 3.8 author rating 341 ratings

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

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