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.
James Phillips presents the origins of NoSQL, followed by a comparison of various NoSQL solutions and ending with an architect’s view of Couchbase.
Susan Potter discusses Dynamo, Riak, distribution, consistency and fault tolerance, along with techniques and an example for building an application with riak_core.
Bob Ippolito explains how to solve concurrent update conflicts with Statebox, an open source library for automatic conflict resolution, running on top of Riak.
Richard Kreuter and Kyle Banker on how to avoid classical RDBMS transactional systems by using compensation mechanisms, transactional messaging or transactional procedures.
Sean Cribbs explains what Map-Reduce and Riak are, why and how to use Map-Reduce with Riak, and how to convert SQL queries into their Map-Reduce equivalents.