InfoQ Homepage Data Access Content on InfoQ
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APIs in Government
Gray Brooks discusses the efforts around creating APIs for accessing the vast amounts of data administered by the US Government.
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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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Introduction to Spring Data
Mark Pollack provides a guided tour plus demos of the Spring Data feature set.
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Reflections on Reflection
Jim Coplien believes that we have done OOP the wrong way for 40 years, and suggests an approach to reflection based on the DCI paradigm and influenced by the human society.
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Spring Data Repositories, A Deep Dive
Oliver Gierke introduces Spring Data repositories along with best practices and implementation patterns, followed by guidelines for integrating repositories with Spring MVC and REST web services.
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Getting started with Spring Data and Distributed Database Grids
Mark Johnson and David Turanski introduce Spring Data for GemFire demoing using Spring Data for persistency across multiple distributed database grids.
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Deconstructing the Database
Rich Hickey deconstructs the monolithic database into separate services, transactions, storage, query, combining them with a data model based on atomic facts to provide new capabilities and tradeoffs.
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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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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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Runaway Complexity in Big Data, and a Plan to Stop It
Nathan Marz outlines several sources of complexity introduced in data systems - Lack of human fault-tolerance, Conflation of data and queries, Schemas done wrong - and what can be done to avoid them.
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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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Sweden's Next Top Data Model
Ian Plosker explains why a data model needs to follow the query patterns when using a NoSQL storage solution.
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