InfoQ Homepage Conferences Content on InfoQ
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Akka Eye for the Spring Guy or Gal
Jan Machacek introduces writing Scala applications to Spring developers, demoing using Akka actors with mix-in composition, higher-order functions, higher-order kinds, and REST API.
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The Mobile Web Developer's Tool Belt
Pete LePage lists a number of mobile development tools, frameworks and libraries, and introduces a testing and iteration process meant to ensure an application works on as many devices as possible.
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Multiplatform, Promises and HTML5
Max Firtman discusses the present mobile ecosystem, why cross-platform is the key to success, HTML5 APIs, challenges with HTML5, when HTML5 is a proper solutions and other.
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Extending the Enterprise Data Warehouse with Hadoop
Rob Lancaster explains the steps made by Orbitz in order to bridge the gap between their data in the data warehouse and the data in Hadoop.
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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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Product Roadmaps - What's the Use?
Angie Duncan discusses product roadmap: what it is, how it is built, who owns it, how it is used, common pitfalls, etc.
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3 Patterns for Cleaner Code
Cory Maksymchuk introduces 3 patterns for writing cleaner code: Predicates, Classifiers, and Transformer.
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Big Data Problems in Monitoring at eBay
Bhaven Avalani and Yuri Finklestein discuss 4 aspects encountered at eBay when dealing with monitoring data: reduction of data entropy, robust data distribution, metric extraction, efficient storage.
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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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100% Big Data, 0% Hadoop, 0% Java
Pavlo Baron presents a big data case, a solution and the tools for collecting, mining and storing large amounts of data without using Hadoop or Java.
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NoSQL: Past, Present, Future
Eric Brewer takes a look at NoSQL’s history and considers what should be done so the current NoSQL solutions to evolve in order to address the full range of the application needs.
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Big Data, Small Computers
Cliff Click discusses RAIN, H2O, JMM, Parallel Computation, Fork/Joins in the context of performing big data analysis on tons of commodity hardware.
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