Design Principles for Implementing Stream Processing Solution
This course will teach you design principles for Azure services that ingest streaming 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.
Table of contents
About the author
Thomas LeBlanc (Microsoft Data Platform MVP) is a Data Enthusiast in Baton Rouge, La. He started his IT career as a COBOL programmer in 1989 while at LSU. Since then he has spent years as a developer, DBA and Data Warehousing/Business Intelligence Architect. Community involve includes the local SQL Server and Analytics User Groups as well as SQLSaturday. Speaking engagements have been a blessing at SQL Pass Summit, Live 360, VSLive and IT Dev Connections.