Storm Real-Time Processing Cookbook

Efficiently process unbounded streams of data in real time

Overview

• Learn the key concepts of processing data in real time with Storm
• Concepts ranging from Log stream processing to mastering data management with Storm
• Written in a Cookbook style, with plenty of practical recipes with well-explained code examples and relevant screenshots and diagrams

In Detail

Storm is a free and open source distributed real-time computation system. Storm makes it easy to reliably process unbounded streams of data, doing for real-time processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use!

Storm Real Time Processing Cookbook will have basic to advanced recipes on Storm for real-time computation.

The book begins with setting up the development environment and then teaches log stream processing. This will be followed by real-time payments workflow, distributed RPC, integrating it with other software such as Hadoop and Apache Camel, and more.

What you will learn from this book

• Create a log spout
• Consume messages from a JMS queue
• Implement unidirectional synchronization based on a data stream
• Execute disaster recovery on a separate AWS region

Approach

A Cookbook with plenty of practical recipes for different uses of Storm.

Who this book is written for

If you are a Java developer with basic knowledge of real-time processing and would like to learn Storm to process unbounded streams of data in real time, then this book is for you.

Table of Contents

Chapter 1: Setting Up Your Development Environment
Chapter 2: Log Stream Processing
Chapter 3: Calculating Term Importance with Trident
Chapter 4: Distributed Remote Procedure Calls
Chapter 5: Polyglot Topology
Chapter 6: Integrating Storm and Hadoop
Chapter 7: Real-time Machine Learning
Chapter 8: Continuous Delivery
Chapter 9: Storm on AWS