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.