Rich Hickey explains the basics of Datomic, its approach to transactions and query, Datalog, CAP, ACID and BASE, and much more.
Rich Hickey explains how immutability enables Datomic's features and facilitates programming (not just in functional languages). Also: Datomic and other NoSQL stores, Clojure Reducers and much more.
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.
Ron Bodkin of Big Data Analytics discusses early adoption of Hadoop, NoSQL and big data technologies. He discusses common patterns and explains how developers can write low-level primitives to optimize MapReduce function. Other topics include Hive, Pig, multi tenancy, and security.
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.
Justin Sheehy explains how Riak was created with ideas from Amazon's Dynamo paper, Riak features and how Riak compares to other NoSQL solutions.
Ilya Grigorik discusses his company's PostRank algorithm for tracking reader engagement with content. Also: his experience scaling MySQL, Tokyo Cabinet, Ruby HTTP libs, Solr, Amazon EC2 and more.