Read Getting Started with Hazelcast - Second Edition

Download Getting Started with Hazelcast - Second Edition

Download Getting Started with Hazelcast - Second Edition

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Get acquainted with the highly scalable data grid, Hazelcast, and learn how to bring its powerful in-memory features into your application About This BookStore and pass data in your application using Hazelcast's scalable and resilient collections, working with real code and examples to see what is really going onIntroduction to data grids, and their power of bringing data and code closer together in order to build bigger, better applications that can cope with a cloud scale worldHands-on examples to progressively walk you through all the powerful features and capabilities on offerWho This Book Is ForThis 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.What You Will LearnLearn and store numerous data types in different distributed collectionsSet up a cluster from the ground upWork with truly distributed queues and topics for cluster-wide messagingMake your application more resilient by listening into cluster internalsRun tasks within and alongside our stored dataFilter and search our data using MapReduce jobsDiscover the new JCache standard and one of its first implementationsIn DetailThis 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. Free O'Reilly Books Ebooks Webcasts Conference Sessions akamaicoversoreillycom/images/9781491979242/thumbgif iPhone: The Missing Manual iPhone: The Missing Manual by David Pogue Tenth Edition DIGITALK - JUNE 08-09 2017 - DigitalK is the leading CEE DigitalK is the leading CEE technology event B I O: Brock Pierce is a venture capitalist and entrepreneur with an extensive track record of founding advising KubeWeekly KubeWeekly aggregating all interesting KubeWeekly aggregating all interesting weekly news about Kubernetes in the form of a newsletter Manage a cluster of Linux containers as a single system to Documentation - ARM Information Center Using this site ARM Forums and knowledge articles Most popular knowledge articles Frequently asked questions How do I navigate the site? OrientDB - Distributed Multi-Model and Graph Database OrientDB - Distributed Multi-Model NoSQL with a Graph Database engine Gradle User Guide Version 35 (Single Page) We think the advantages of an internal DSL (based on a dynamic language) over XML are tremendous when used in build scripts There are a couple of dynamic languages
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