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Modeling Streaming Data for Processing with Apache Spark Structured Streaming

Streaming analytics can be difficult to implement. This course will teach you to model real-time data processing with Spark Structured Streaming.

Eugene Meidinger - Pluralsight course - Modeling Streaming Data for Processing with Apache Spark Structured Streaming
by Eugene Meidinger

What you'll learn

Streaming analytics can be a difficult to set up, especially when working with late data arrivals and other variables. In this course, Modeling Streaming Data for Processing with Apache Spark Structured Streaming, you’ll learn to model your data for real-time analysis. First, you’ll explore applying batch processing to streaming data. Next, you’ll discover aggregating and outputting data. Finally, you’ll learn how to late arrivals and job failures. When you’re finished with this course, you’ll have the skills and knowledge of Spark Structured Streaming needed to combine your batch and streaming analytics jobs.

Table of contents

About the author

Eugene Meidinger - Pluralsight course - Modeling Streaming Data for Processing with Apache Spark Structured Streaming
Eugene Meidinger

Starting out as an accidental DBA and developer, Eugene Meidinger now focuses primarily on BI consulting. He has been working with SQL Server for five years now, and is certified in Querying and Administering SQL Server 2012. He regularly presents at various SQL Saturday events.

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