Douglas Crockford presents a debate existing around XML and JSON, and the negative effect of the Intellectual Property laws on open source software.
Roger Bodamer provides advice on scaling out MongoDB using replica sets and auto-sharding, plus tips for database deployment and scaling use cases.
Joshua Bennett discusses immutable objects, what they are good for, when they are recommended to be used and when are to be avoided.
Roger Bodamer, Chris Biow, Steve Harris, Rusty Klophaus, Mike Malone, and Ken Sipe (panel moderator) discuss the future development of NoSQL or non-relational data stores.
Ralph Johnson presents several data parallelism patterns, including related libraries from Intel and Microsoft, comparing it with other forms of parallel programming such as actor programming.
Billy Newport explains the fundamental differences between SQL and NoSQL, creating awareness that NoSQL is not suited for many cases, and people should make informed decisions before buying into it.
Guy L. Steele Jr. believes that programmers should not think about parallelism, but languages should provide ways to transparently run tasks in parallel by supporting independence-based constructs.
Kevin Weil presents how Twitter does data analysis using Scribe for logging, base analysis with Pig/Hadoop, and specialized data analysis with HBase, Cassandra, and FlockDB.
Borislav Iordanov presents the architecture of HyperGraphDB, a special type of store based on hypergraphs – graphs with edges pointing to an arbitrary number of nodes and to other edges.
Mikhail Panchenko discusses how Flickr’s code base developed over the years and the scalability problems that started to appear, presenting the the improvements and pros/cons of technologies used.