Getting Started with Storm

By: Jonathan Leibiusky

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Paperback | 14 September 2012

At a Glance

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50 Pages

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23.34 x 17.78 x 0.56

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Even as big data is turning the world upside down, the next phase of the revolution is already taking shape: real-time data analysis. This hands-on guide introduces you to Storm, a distributed, JVM-based system for processing streaming data. Through simple tutorials, sample Java code, and a complete real-world scenario, you'll learn how to build fast, fault-tolerant solutions that process results as soon as the data arrives.

Discover how easy it is to set up Storm clusters for solving various problems, including continuous data computation, distributed remote procedure calls, and data stream processing.

Learn how to program Storm components: spouts for data input and bolts for data transformation
Discover how data is exchanged between spouts and bolts in a Storm topology
Make spouts fault-tolerant with several commonly used design strategies
Explore bolts-their life cycle, strategies for design, and ways to implement them
Scale your solution by defining each component's level of parallelism
Study a real-time web analytics system built with Node.js, a Redis server, and a Storm topology
Write spouts and bolts with non-JVM languages such as Python, Ruby, and Javascript

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Capture & Analysis Computer Networking & Communications Client-Server Networking Data Warehousing

Preface
Basics
Getting Started
Topologies
Spouts
Bolts
A Real-Life Example
Using Non-JVM Languages with Storm
Transactional TopologiesInstalling the Storm ClientInstalling Storm Cluster Real Life Example Setup
Table of Contents provided by Publisher. All Rights Reserved.

Getting Started with Storm

At a Glance

Paperback

Shipping

How to return your order

Defective items

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