Applying Real-time Processing Using Apache Storm

Applying Real-time Processing Using Apache Storm
English | Size: 320 MB
Category: Video Training

Storm lets you to work with large scale streaming data using it’s distributed real-time processing architecture. This course discusses the components of Storm topologies and how to use Storm for applying machine learning in real-time.

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.

Download Faster with Resume Support with Premium Account



If any links die or problem unrar, send request to

About WoW Team

I'm WoW Team , I love to share all the video tutorials. If you have a video tutorial, please send me, I'll post on my website. Because knowledge is not limited to, irrespective of qualifications, people join hands to help me.