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19:59

Chris Mattmann on Big Data Infrastructure for Scientific Data Processing

Posted by Chris Mattmann on  Apr 15, 2014

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.

24:53

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

Posted by 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.

22:13

Emil Eifrem on NoSQL, Graph Databases, and Neo4j

Posted by 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

Posted by 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

Posted by 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.

Rich Hickey and Justin Sheehy about Datastores, NoSql and CAP

Posted by Rich Hickey and Justin Sheehy on  Aug 03, 2012

Rich Hickey and Justin Sheehy talk about scalability and transactionability of datastores. They explain tradeoffs for achieving read and/or write scalability on top of Datomic and Riak.

Rich Hickey on Datomic: Datalog, Databases, Persistent Data Structures

Posted by Rich Hickey on  Apr 04, 2012

Rich Hickey explains the ideas behind the Datomic database: why Datalog is used as the query language, the functional programming concepts at its core, the role of time in the DB and much more.

Attila Szegedi on JVM and GC Performance Tuning at Twitter

Posted by Attila Szegedi on  Feb 09, 2012 3

Attila Szegedi talks about performance tuning Java and Scala programs at Twitter: how to approach GC problems, the importance of asynchronous I/O, when to use MySQL/Cassandra/Redis, and much more.

Bart De Smet on Reactive Extensions (Rx) for .NET and Javascript

Posted by Bart De Smet on  Jul 01, 2011 3

Bart De Smet explains Reactive Extensions (Rx), a library for composing computations over asynchronous event streams of data for .NET and Javascript, the concepts and implementation of Rx and more.

Hilary Mason on bit.ly and Trending Clickstreams

Posted by Hilary Mason on  Jan 20, 2011

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.

What’s Next for jclouds?

Posted by Adrian Cole on  Dec 23, 2010

Adrian Cole discusses his jclouds project, which is an open source library that helps Java developers get started in the cloud and reuse their Java development skills. Cole also talks about some of the challenges of creating a cloud agnostic library, such as the use of different hypervisors and that various cloud implementations are written in different languages, such as VB, Python, Ruby, etc.

Emil Eifrem on Neo4j and Graph Databases

Posted by Emil Eifrem on  Dec 23, 2010

Emil Eifrem explains graph databases, what domains they fit well, and the state of Neo4j. Also: how graph databases stack up against RDBMs.

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