Learning Apache Storm for Big Data Processing: Set up a Storm Cluster and develop end-to-end Storm topologies using Java

Prashant Nair

Mex$179.99 ~~Mex$2830.99~~

Video Jul 2018 2hrs 35mins 1st Edition

Video

Mex$179.99 ~~Mex$2830.99~~

Subscription

Free Trial

Prashant Nair

Mex$179.99 ~~Mex$2830.99~~

Video Jul 2018 2hrs 35mins 1st Edition

Video

Mex$179.99 ~~Mex$2830.99~~

Subscription

Free Trial

Video

Mex$179.99 ~~Mex$2830.99~~

Subscription

Free Trial

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Key benefits

1. Learn the key points of the Lambda Architecture and the role Apache Storm plays in it
2. Learn programming techniques to create a Storm topology, its patterns, and anti-patterns.
3. Understanding the core components and Apache Storm daemons
4. Achieving fault-tolerance in Apache Storm

Description

Apache Storm is a distributed real-time processing engine. Created by Nathanmarz for Backtype and later open sourced under Apache License 2, it's a scalable and a fault-tolerant engine used to process a massive number of unbounded streams. In this course you will see how simple yet efficient Apache Storm is when it comes to real-time processing. In the course, you will learn about data processing types followed by Apache Storm and its features. You'll learn the core concepts of Apache Storm such as spouts, bolts, topology, and stream grouping, and set up Apache Storm in single-node and multi-node configurations. Also you'll explore how fault-tolerant Apache Storm is. Taking this course will kick-start your experience with Apache Storm; you'll create a scalable, fault-tolerant, real-time processing application while setting a strong base for the fundamentals of the real-time processing paradigm and Apache Storm. All the code and supporting files for the course can be found here- https://github.com/PacktPublishing/Learning-Apache-Storm-for-Big-Data-Processing

Who is this book for?

This course targets data engineers, solution architects, Java developers, technical managers, and programming analysts working in a big data setup or anyone who is keen to learn the ins and outs of big data processing. The audience is expected to have a working knowledge of programming with Java. A basic knowledge of Apache Maven (and a working knowledge of Eclipse and Linux terminals) will help you understand its concepts a lot more easily.