Get acquainted with the highly scalable data grid, Hazelcast, and learn how to bring its powerful in-memory features into your application
This book is a great introduction for Java developers, software architects, or DevOps looking to enable scalable and agile data within their applications. Providing in-memory object storage, cluster-wide state and messaging, or even scalable task execution, Hazelcast helps solve a number of issues that have troubled technologists for years.
This book is an easy-to-follow, hands-on introduction that guides you through this innovative new technology. It covers everything from data grids to the simple-to-use distributed data storage collections. Queuing and topic messaging capabilities, as well as locking and transaction support to guard against concurrency race-conditions, are some of the topics that we will cover. We will then move on to distributed task execution, in-place data manipulations and big data analytical processing using MapReduce.
At the end of all this, you will be armed with everything you need to bring amazing power and data scalability to your applications, as well as making them truly global and ready for a worldwide audience.
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Mat Johns
Mat Johns is an Agile software engineer, hands-on solution architect, and a general technologist based in London. His experience with the Web reaches all the way back to his misspent youth and some rather hacktastic code, but eventually, he grew up to graduate from the University of Southampton with a master's in computer science with distributed systems and networks. Since then, he has worked for a number of start-ups on various web projects and systems, and nowadays, he specializes in designing and creating high-performance and scalable web services, currently in the Internet TV world. Away from technology, he is an avid explorer and endeavors to seek out new destinations and adventures as much as possible. He is also a qualified yacht skipper and regularly races in, around, and beyond the Solent. You can follow him on Twitter at @matjohns. Mat was also the author of the first edition of this book.
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