Trisha Gee on MongoDB, Java 8, and What Excites Her About Writing Software

Interview with Trisha Gee on  Apr 05, 2014

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.


Jeremy Pollack of on Test-driven Development and More

Interview with Jeremy Pollack on  Feb 15, 2014

Hadoop, the distributive file system and MapReduce are just a few of the topics covered in this interview recorded live at QCon San Francisco 2013. Industry-standard Agile implementation and a lot of testing, assures the development team at that they have an app that can handle the large traffic demands of the popular genealogy site.


Dean Wampler on Scalding, NoSQL, Scala, Functional Programming and Big Data

Interview with Dean Wampler on  Dec 16, 2013

Dean Wampler explains Scalding and the other Hadoop support libraries, the return of SQL, how (big) data is the killer application for functional programming, Java 8 vs Scala, and much more.


Eva Andreasson on Hadoop, the Hadoop Ecosystem, Impala

Interview with Eva Andreasson on  Nov 11, 2013 1

Eva Andreasson explains the various Hadoop technologies and how they interact, real-time queries with Impala, the Hadoop ecosystem including Hue, Oozie, YARN, and much more.


Matt Debergalis on Meteor

Interview with Matt Debergalis on  Aug 21, 2013

Matt DeBergalis explains Meteor, a JavaScript application platform, how Meteor ties the client and the server together with WebSockets, the DB integration with MongoDB, reactivity, and more.


Emil Eifrem on NoSQL, Graph Databases, and Neo4j

Interview with Emil Eifrem on  Feb 01, 2013 1

Emil Eifrem looks back at the history of Neo4j, an open-source, NoSQL graph database supported by Neo Technology. He describes some real world applications of graphs, domain modelling with graphs, and compares the performance of graph and relational databases. He also examines how Neo4j differs from other NoSQL and graph databases in the market and describes various Neo4j licensing options.

Ian Robinson discusses Service Evolution and Neo4J Feature Design

Interview with Ian Robinson on  Jan 29, 2013

Ian Robinson discusses Neo4J's design choices for data storage and retrieval, CRUD operations, transactions, graph traversal and searches and HA deployment strategies. He also shares his thoughts on hypermedia controls and the concept of consumer driven contracts for continuous evolution of services.

Michael Hunger on Spring Data Neo4j, Graph Databases, Cypher Query Language

Interview with Michael Hunger on  Jan 24, 2013

In this interview, Michael Hunger talks about the evolution of persistence technologies over the last decade, the emergence of NoSQL databases, and looks at where graph databases fit in. He describes the goals behind the Spring Data Neo4j project, it's latest developments, and examines Cypher, a humane and declarative query language for graphs.

Erik Meijer on Big Data, Types of Data Stores and Reactive Programming

Interview with Erik Meijer on  Jan 04, 2013 1

Erik Meijer explains the various aspects needed to categorise data stores, how reactive programming fits in with databases, the return to data transformation, denotational semantics, and much more.

Debasish Ghosh on Functional Programming, NoSQL

Interview with Debasish Ghosh on  Oct 26, 2012 3

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.

Robert Greene on Versant's Java NoSQL Solution and JPA 2.0 Support

Interview with Robert Greene on  Oct 17, 2012 1

In this interview recorded at QCon New York 2012 Conference, Robert Greene from Versant Corporation discusses Versant's NoSQL database and their JPA 2.0 compliant Java NoSQL solution. He also talked about transparency of data access across the physical nodes when using NoSQL databases.

Ken Little on Scaling Tumblr

Interview with Ken Little on  Sep 24, 2012

Ken Little talks about scaling Tumblr to keep up with their blogging users: scaling the data model, sharding, their PHP frontend and the Scala backend, and much more.

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