Engine Yard's Ines Sombra discusses state management in the cloud in general, and specific data stores including MySQL, Postgres and some NoSQL alternatives. She also explains why the pets and cattle analogy doesn't work for her, and what need to be done in organisations with respect to trusting people and trusting the infrastructure.
Dave McCrory explains how he coined the term 'data gravity', and how he expects the rise of data related microservices to deal with its consequences. He also gives an overview of Basho's Riak version 2, and what else can be expected from that platform in nearby releases.
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.
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.
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, 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.
Justin Sheehy explains how Riak was created with ideas from Amazon's Dynamo paper, Riak features and how Riak compares to other NoSQL solutions.