InfoQ Homepage NoSQL Content on InfoQ
-
Hadoop and NoSQL in a Big Data Environment
Ron Bodkin of Big Data Analytics discusses early adoption of Hadoop, NoSQL and big data technologies. He discusses common patterns and explains how developers can write low-level primitives to optimize MapReduce function. Other topics include Hive, Pig, multi tenancy, and security.
-
All things Hadoop
In this interview Ted Dunning talk about Hadoop, its current usage and its future. He explains the reasons for Hadoop's success and make recommendations on how to start using it.
-
Brian Foote on the State of OOP, Refactoring, Code Quality
Brian Foote looks back at the promises of OOP and discusses which, if any, of them became reality. Also: a look at NoSQL, refactoring and code quality, testing and static typing and more.
-
Graeme Rocher on Grails 2.0 and Polyglot Persistence
In this interview recorded at JavaOne 2011 Conference, Srini Penchikala talks to Grails project lead Graeme Rocher about Grails 2.0 features, polyglot persistence paradigm and how Grails supports it. Graeme also talks about the tool support and the upcoming features in Grails 3.0 release.
-
Costin Leau on Spring Data, Spring Hadoop and Data Grid Patterns
In this interview recorded at JavaOne 2011 Conference, Spring Hadoop project lead Costin Leau talks about the current state and upcoming features of Spring Data and Spring Hadoop projects. He also talks about the Caching and Data Grid architecture patterns.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
Laforge and Rocher Discuss the future of Groovy, Grails and Java
In this interview, Graeme Rocher and Guillaume Laforge of SpringSource talk about the present and future of the Grails framework and the Groovy language. Rocher talks about Grails 1.4 and some of its enhancements such as improvements to GORM. And Laforge discusses Groovy 1.8, which features new DSL authoring capabilities, among other things. They look at how Java’s future impacts their projects.