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.
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.
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.
This episode is an interview with Dave Thomas (OTI Dave or Smalltalk Dave, not PragDave). We started our discussion with a look at the (non-)success of objects and components. We then discussed some history behine Eclipse and Dave’s role in OTI. We then compared Smalltalk and Ruby and looked at the promises of small and powerful languages such as Lisp. We also discussed the role of (static) type systems and the role of tool support for languages.
We then switched gears and looked at what is necessary to scale agile development to the level of large organizations
and how techniques from lean production and manufacturing as well as product management can play an important role.
In the last part of the interview we looked at the state of research today, and especially the relationship between industry and academia in this area.
We concluded the interview with Dave’s opinion on what it takes to be a good developer.