InfoQ Homepage Java Content on InfoQ
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Project Lambda in Java SE 8
Daniel Smith discusses Project Lambda including lambda expressions, default methods, and parallel collections to be soon part of Java SE 8.
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Grails Update
Jeff Brown presents what’s new in Grails 2.0, 2.1 and 2.2, and informs on the enhancements to be introduced with 2.3.
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This is Your Workflow on Catnip
Bodil Stokke introduces the productivity benefits of Catnip, a text editor with REPL (Read Eval Print Loop) functionality integrated into the Clojure environment.
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Testing Java Code With Confidence
Doug Hiebert discusses the principles and objectives behind automated testing, TDD, Unit and Integration Testing, using asserting and mocking to write tests, and static analysis.
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Clojure + Datomic + Storm = Zolodeck
Amit Rathore describes the architecture of Zolodeck, a virtual relationship manager built on Clojure, Datomic, and Storm.
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Fine Grained Coordinated Parallelism in a Real World Application
Mohammad Rezaei discusses fine-grained parallelism along with an algorithm called Aggregation and a concurrent map built to help dealing with it.
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Keynote: The New Application Architectures
Adrian Colyer discusses the application architecture emerging these days defined by a departure from server-side apps to a model characterized by smart clients and services.
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Keynote: Spring 2012 and Beyond
Adrian Colyer, Juergen Hoeller, Mark Pollack and Graeme Rocher present SpringSource’s Unifying Component Model, current developments regarding Big Data, and betting on Grails.
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Scaling Software with Akka
Jonas Bonér explains solving scalability issues, including adaptive automatic load-balancing, cluster rebalancing, replication and partitioning, with Akka 2.
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ClojureScript - Better Semantics at Low Low Prices!
David Nolen unveils optimization techniques behind ClojureScript: code size, expression-oriented semantics, numerics, operations on JS primitive types, persistent data structures, etc.
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Types vs. Tests: An Epic Battle?
Amanda Laucher and Paul Snively debate solving problems through types and tests using different approaches.
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Spring Data - NoSQL - No Problems...
Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.
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