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Learning Apache Storm for Big Data Processing
Learning Apache Storm for Big Data Processing

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

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Profile Icon Prashant Nair
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$9.99 $137.99
Video Jul 2018 2hrs 35mins 1st Edition
Video
$9.99 $137.99
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Arrow left icon
Profile Icon Prashant Nair
Arrow right icon
$9.99 $137.99
Video Jul 2018 2hrs 35mins 1st Edition
Video
$9.99 $137.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$9.99 $137.99
Subscription
Free Trial
Renews at $19.99p/m

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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.

What you will learn

  • Core big data processing concepts
  • Core components of Apache Storm
  • Developing Apache Storm applications from scratch
  • Defining terms associated with Apache Storm
  • Setting up single- and multi-node clusters in Apache Storm
  • Integrating Apache Hadoop with Apache Storm
  • Performing transformation operations using tridents
  • Understanding Parallelism and using StreamGroupings for tuple interaction.

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 27, 2018
Length: 2hrs 35mins
Edition : 1st
Language : English
ISBN-13 : 9781786460028
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Product Details

Publication date : Jul 27, 2018
Length: 2hrs 35mins
Edition : 1st
Language : English
ISBN-13 : 9781786460028
Category :
Languages :
Concepts :

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Table of Contents

9 Chapters
Introducing Real-time Processing Chevron down icon Chevron up icon
Apache Storm Concepts Chevron down icon Chevron up icon
Setting Up Your Apache Storm Development Environment Chevron down icon Chevron up icon
Creating Our First Storm Topology Chevron down icon Chevron up icon
Setting Up Apache Storm as a Single-Node Cluster Chevron down icon Chevron up icon
Setting Up Apache Storm in Multi-Node Cluster Chevron down icon Chevron up icon
Implementing StreamGroupings in Apache Storm Chevron down icon Chevron up icon
Integrating Hadoop with Apache Storm Chevron down icon Chevron up icon
Understanding and Implementing Tridents in Apache Storm Chevron down icon Chevron up icon
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