Jesse Newland discusses how GitHub pages were re-written with Erlang, Riak and Webmachine in order to improve their performance.
Dhruba Borthakur discusses the different types of data used by Facebook and how they are stored, including graph data, semi-OLTP data, immutable data for pictures, and Hadoop/Hive for analytics.
David Czarnecki discusses several Redis data structures and their associated libraries used in real cases for building leaderboards, relationships and activity feeds.
Sean Cribbs discusses Convergent Replicated Data Types, data structures that tolerate eventual consistency.
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.
Michael Stonebraker compares how RDBMS, NoSQL and NewSQL support today’s big data transaction processing needs. He also introduces VoltDB, an in-memory NewSQL database.
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.
Ian Plosker explains why a data model needs to follow the query patterns when using a NoSQL storage solution.
Stuart Dabbs Halloway explains what the impedance mismatch is and what can be done to solve it in the context of RDBMS, OOP, and NoSQL.
John Davies shares insight into SQL, NoSQL, grid, virtualization and caching technologies from his personal experience using them in financial institutions.
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- Making the Shift from Relational to NoSQL