Tag: ruby
SE-Radio Episode 261: David Heinemeier Hansson on the State of Rails, Monoliths, and More
David Heinemeier Hansson, creator of the Ruby on Rails framework and a partner at the software development company Basecamp, talks to Stefan Tilkov about the state of Ruby on Rails and its suitability for long-term development. He addresses some of its common criticisms, such as perceived usefulness for only simple problems, claimed lack of scalability, […]
Episode 207: Mitchell Hashimoto on the Vagrant Project
Charles Anderson talks to Mitchell Hashimoto about the Vagrant open source project, which can be used to create and configure lightweight, reproducible, and portable development environments. Vagrant aims to make new developers on a project productive within minutes of joining the project instead of spending hours or days setting up the developer’s workstation. The outline […]
Episode 165: NoSQL and MongoDB with Dwight Merriman
Dwight Merriman talks with Robert about the emerging NoSQL movement, the three types of non-relational data stores, Brewer’s CAP theorem, the weaker consistency guarantees that can be made in a distributed database, document-oriented data stores, the data storage needs of modern web applications, and the open source MongoDB.
Episode 162: Project Voldemort with Jay Kreps
Jay Kreps talks about the open source data store Project Voldemort. Voldemort is a distributed key-value store used by LinkedIn and other high-traffic web sites to overcome the inherent scalability limitations of a relational database. The conversation delves into the workings of a Voldemort cluster, the type of consistency guarantees that can be made in a distributed database, and the tradeoff between client and the server.
Episode 157: Hadoop with Philip Zeyliger
Philip Zeyliger of Cloudera discusses the Hadoop project with Robert Blumen. The conversation covers the emergence of large data problems, the Hadoop file system, map-reduce, and a look under the hood at how it all works. The listener will also learn where and how Hadoop is being used to process large data sets.
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