Tony Tam shares tips for modeling data with MongoDB for a fast and scalable system based on his experience migrating billions of records from MySQL to MongoDB.
Andy Gross reflects on five years of involvement with Riak and distributed databases and discusses what went right, what went wrong, and what the next five years may hold for Riak.
Shanley Kane discusses Dynamo - consistent hashing, vector clocks, hinted handoff, gossip protocol - advances in each area, and how querying and application development has changed as a result of them
Kenny Gorman provides advice on designing systems using MongoDB in order to avoid some of the pitfalls lurking along the way.
Jesse Newland discusses how GitHub pages were re-written with Erlang, Riak and Webmachine in order to improve their performance.
Justin Sheehy discusses designing reliable distributed systems that can scale in order to deal with concurrency problems and the tradeoffs required by such systems.
Andy Gross reports on how Basho used Riak and Erlang to build their cloud storage service.
Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.
Ross Lawley introduces MongoDB, explaining why it is a good solution for cloud deployment.
Damien Katz explains how Couchbase Syncpoint provides real time data synchronization capabilities between multiple mobile devices and the cloud.
Damien Katz explains the benefits and drawbacks of using Erlang, why this language is from the future and why Couchbase has migrated some of the CouchDB’s initial Erlang code to C/C++.
Kresten Krab Thorup discusses bringing Riak to mobile. He covers Riak’s data model, BucketDB – a Riak client-, and the protocol used to synchronize the data on the device between BucketDB and Riak.