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Applying Real-time Processing Using Apache Storm

Storm is meant to be to used for distributed real-time processing, the way Hadoop is used for distributed batch processing. With Storm, you can process informations such as trends and breaking news and react to it in real-time. In this course, Applying Real-time Processing Using Apache Storm, you'll learn how to apply Storm for real-time processing. First, you'll discover how to set up a data processing pipeline using Storm topologies. Next, you'll explore parallelization by controlling data flows between components. Then, you'll cover how to perform complex data transforms using the Trident API. Finally, you'll learn how to apply machine learning models in real-time. By the end of this course, you'll be able to build your own Storm applications for different real-time processing tasks.
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Length 2.2 hours
Starts On Demand (Start anytime)
Cost $29/month (Access to entire library- free trial available)
From Pluralsight
Instructor Swetha Kolalapudi
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects Data Science IT & Networking
Tags Big Data Data Professional Streaming

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Rating Not enough ratings
Length 2.2 hours
Starts On Demand (Start anytime)
Cost $29/month (Access to entire library- free trial available)
From Pluralsight
Instructor Swetha Kolalapudi
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects Data Science IT & Networking
Tags Big Data Data Professional Streaming

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