InfoQ Homepage Java Content on InfoQ
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Working with Databases and Groovy
Paul King presents working with databases in Groovy, covering datasets, GMongo, Neo4J, raw JDBC, Groovy-SQL, CRUD, Hibernate, caching, Spring Data technologies, etc.
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Road to Grails 3.0
Graeme Rocher presents the latest additions to Grails including a walk through of the features included Grails 2.3 and upcoming in Grails 3.0.
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Functional Programming for Optimization Problems with City of Palo Alto Open Data
Paco Nathan reviews an example data analysis application written in Cascalog used for a recommender system based on City of Palo Alto Open Data.
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Spock: Soup to Nuts
Zan Thrash introduces Spock, a Grails testing framework that includes mocking, parameterized tests and an extension API.
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Clojure core.async
Rich Hickey discusses the motivation, design and use of the Clojure core.async library.
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Testing Grails Applications
Ken Kousen covers the testing options for Grails applications including testing constraints, using mocks, generating test data, the available testing annotations, and more.
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Gershwin: Stack-based, Concatenative Clojure
Daniel Gregoire introduces Gershwin, a stack-based, concatenative programming language with a Clojure runtime that targets the JVM.
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Building APIs with Grails
Bobby Warner discusses the pros and cons of the available options that Grails developers have for creating RESTful APIs.
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Advanced Web Development Techniques With Grails 2
Jeff Scott Brown presents some of the advanced features available in Grails 2 for web application development.
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An Introduction To Web Development With Grails 2
Jeff Scott Brown demoes creating a web application with Grails 2 using the command-line, GORM and Hibernate, GSP, and Spring Integration.
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Building a Continuous Delivery Pipeline with Gradle and Jenkins
Peter Niederwieser discusses building a continuous delivery pipeline with Gradle and Jenkins.
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Scaling out with Akka Actors
Joshua Suereth designs a scalable distributed search service with Akka and Scala using actors, and covering practical aspects of how to scale out with Akka’s clustering API.
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