Chris Mattmann explains the type and magnitude of data produced in scientific projects like the Square Kilometer Array Telescope, the tools to use for scientific data processing and much more.
In this interview, recorded at QCon London 2014, Trisha Gee talks to Charles Humble about MongoDB, her work on the Java driver, her development set-up, what she’s interested in in Java 8, and what excites her about writing software.
Debasish Ghosh talks about the advantages of functional programming and how its abstractions help to reason about code, Monads, DSLs, NoSQL and MongoDB, and much more.
In this interview at QCon London, LinkedIn’s Sid Anand discusses the problems they face when serving high-traffic, high-volume data. Sid explains how they’re moving some use cases from Oracle to gain headroom, and lifts the hood on their open source search and data replication projects, including Kafka, Voldemort, Espresso and Databus.
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.
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.