InfoQ Homepage Java EE Content on InfoQ
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The Java EE 7 Platform: Higher Productivity & Embracing HTML 5
Arun Gupta demoes some of the new features introduced or enhanced in Java EE 7: HTML5, JAX-RS 2, JMS 2, Batch Processing and Caching API, WebSocket, etc.
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JavaEE.Next(): Java EE 7, 8, and Beyond
Reza Rahman shows code samples for some of the APIs coming in Java EE 7, such as JMS 2, WebSocket, JSON, JAX-RS 2, JPA 2.1, JTA 1.2, etc. and takes a peek at Java EE 8 features to be expected.
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Just Do It: Migrating to Grails
Emiliano Conde shares the process, tools, and lessons learned migrating jBilling.com from Struts/EJB to Grails/Spring.
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Managing and Monitoring Spring Integration Applications
Gary P Russell shows an application used for managing and monitoring apps built with Spring Integration, and overviews the JMX support provided by Spring Integration.
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Spring Data REST: Easily Export JPA Entities Directly to the Web
Jon Brisbin explains how to expose JPA entities via the Spring Data Repository abstraction and then exporting them to HTTP using Spring Data REST.
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RESTful Java Evolves
Bill Burke discusses using REST from Java, overviewing JAX-RS 1.1 and detailing some of the new features coming in JAX-RS 2.0 – Async HTTP, Filters/Interceptors, Client framework-.
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Messaging over the Web with WebSocket & JMS
Robin Zimmermann lays out the broad architectural details of server applications with a web-based client exchanging messages over WebSockets and JMS.
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Java EE 7 and HTML5: Developing for the Cloud
Arun Gupta presents the current developments on Java EE7 as a PaaS in the cloud and current work on Project Avatar which simplifies HTML5, Websockets and JSON programming for Java developers.
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Spring Data JPA – Repositories Done Right
Oliver Gierke demoes using Spring Data JPA to create repositories using a Domain-driven Design approach.
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The Future of Java EE
Jerome Dochez unveils the features planned for Java EE 7: Cloud Computing support, Modularity enhancements, richer Web Tier – Web Socket, HTML5, JSON-, JMS 2.0, and JPA 2.1, plus the roadmap.
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Yes, SQL!
Uri Cohen presents the key characteristics of SQL and NoSQL databases and how to create a layer on top of distributed data stores in order to use SQL to query for data.
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Yes, SQL!
Uri Cohen reviews SQL and distributed data stores, presenting how various API’s – memcached, SQL/JDBC, JPA - can be used to interact with such data stores, specifying what jobs they are best used for.
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