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Rich Hickey on Datomic, CAP and ACID

Interview with Rich Hickey Follow 28 Followers on  Jan 21, 2013

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

Interview with Rich Hickey Follow 28 Followers on  Sep 10, 2012 1

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.

Data Science Follow 331 Followers

Rich Hickey and Justin Sheehy about Datastores, NoSql and CAP

Interview with Rich Hickey Follow 28 Followers , Justin Sheehy Follow 0 Followers 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.

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Hadoop and NoSQL in a Big Data Environment

Interview with Ron Bodkin Follow 0 Followers on  Feb 03, 2012

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

Interview with Justin Sheehy Follow 0 Followers , Damien Katz Follow 0 Followers on  Aug 05, 2011

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

Interview with Justin Sheehy Follow 0 Followers on  Aug 04, 2010

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

Interview with Ilya Grigorik Follow 0 Followers on  Sep 22, 2009

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.

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