InfoQ Homepage Database Content on InfoQ
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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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Fear No More: Embrace Eventual Consistency
Sean Cribbs compares ACID with BASE, explaining the virtues and tradeoffs of eventually consistent systems and what developers should know in order to feel comfortable working with EC systems.
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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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How to Build Big Data Pipelines for Hadoop Using OSS
Costin Leau discusses Big Data, current available tools for dealing with it, and how Spring can be used to create Big Data pipelines.
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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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Data Modeling with Graphs
Peter Bell presents several patterns for modeling and retrieving data from graph databases using Neo4j in his examples.
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Ten Reasons Why You Should Use a Graph Database For Your CMS
Axel Morgner compares different open source CMS’s and outlines the benefits of implementing one using a graph database.
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F# Big Data Scripting
Matthew Moloney shares some of the F# tools built at Microsoft Research for dealing with Big Data.
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The Evolving Panorama of Data
Rebecca Parsons proposes taking a different look at data, using different approaches and tools, then looks at some of the ways social data is used these days.
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Scaling Scalability: Evolving Twitter Analytics
Dmitriy Ryaboy shares some of the lessons learned scaling Twitter’s analytics infrastructure: Data loves a schema, Make data sources discoverable, and Make costs visible.
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Lean Data Architecture: Minimize Investment, Maximize Value
Manvir Singh Grewal and Brandon Byars propose a business intelligence workflow along with Lean principles and practices for implementing a data warehouse and reporting capability.
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Storm: Distributed and Fault-Tolerant Real-time Computation
Nathan Marz introduces Twitter Storm, outlining its architecture and use cases, and takes a look at future features to be made available.
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