InfoQ Homepage Database Content on InfoQ
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Orion Henry on Heroku, Doozer and Paxos, Ruby
Orion Henry explains what make Heroku's PaaS tick, in particular the new extensible Cedar stack as well as Doozer, the implementation of the Paxos algorithm created at Heroku.
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Justin Sheehy and Damien Katz on Riak and CouchDB
Justin Sheehy and Damien Katz discuss Riak and CouchDB, the strengths and trade-offs of different approaches to NoSQL, and why both databases are written in Erlang.
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Bart De Smet on Reactive Extensions (Rx) for .NET and Javascript
Bart De Smet explains Reactive Extensions (Rx), a library for composing computations over asynchronous event streams of data for .NET and Javascript, the concepts and implementation of Rx and more.
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Ville Tuulos on Big Data and Map/Reduce in Erlang and Python with Disco
Ville Tuulos talks about Disco, the Map/Reduce framework for Python and Erlang, real-world data mining with Python, the advantages of Erlang for distributed and fault tolerant software, and more.
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Erlang Inventors Talk Language Future
In this interview Joe Armstrong and Robert Virding, co-inventors of the Erlang language, talk about the future of the language, including its use in web programming, its ability to scale and more. The duo also discuss Erlang support for NoSQL databases, running the language on the Java Virtual Machine (JVM) and comparisons with other languages such as Google’s Go.
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Juergen Hoeller on Spring 3.1 and Spring 3.2
Juergen Hoeller talks to Charles Humble about the upcoming features in Spring 3.1 and Spring 3.2. The interview also explores SpringSource's attitude to standardisation, and the impact of the Java 7 and 8 language changes, and the Jave EE 6, on the framework.
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Randy Shoup on Evolvable Systems
Randy Shoup discusses evolvable systems: how to run different versions of a system in parallel during migrations, decoupling a system with events, schemas at eBay and much more.
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Rob Pike on Parallelism and Concurrency in Programming Languages
Rob Pike discusses concurrency in programming languages: CSP, channels, the role of coroutines, Plan 9, MapReduce and Sawzall, processes vs threads in Unix, and more programming language history.
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Ron Bodkin on Big Data and Analytics
Ron Bodkin discusses big data architecture, real-time analytics, batch processing, map-reduce, and data science.
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Hilary Mason on bit.ly and Trending Clickstreams
Hilary Mason, interviewed by Ryan Slobojan, discuss the engineering behind bit.ly and their use of machine learning in their system architecture. Hilary also talks about their use of MySQL and MongoDB to manage terabytes of information about users and clicks and their implications on performing real-time analysis of anthropology on the human condition.
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What’s Next for jclouds?
Adrian Cole discusses his jclouds project, which is an open source library that helps Java developers get started in the cloud and reuse their Java development skills. Cole also talks about some of the challenges of creating a cloud agnostic library, such as the use of different hypervisors and that various cloud implementations are written in different languages, such as VB, Python, Ruby, etc.
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Emil Eifrem on Neo4j and Graph Databases
Emil Eifrem explains graph databases, what domains they fit well, and the state of Neo4j. Also: how graph databases stack up against RDBMs.
