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Interviews
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Rich Hickey on Datomic, CAP and ACID
Rich Hickey explains the basics of Datomic, its approach to transactions and query, Datalog, CAP, ACID and BASE, and much more.
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Rich Hickey on Datomic, Data Storage, Functional Programming and Immutability
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.
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Rich Hickey and Justin Sheehy about Datastores, NoSql and CAP
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.
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Hadoop and NoSQL in a Big Data Environment
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.
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Justin Sheehy and Damien Katz on Riak and CouchDB
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.
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Justin Sheehy on Riak
Justin Sheehy explains how Riak was created with ideas from Amazon's Dynamo paper, Riak features and how Riak compares to other NoSQL solutions.
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Ilya Grigorik on Tokyo Cabinet, MySQL and Ruby HTTP Performance
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.
