Garrett Eardley explores how Riot Games is leveraging Riak for their stats system, discussing why they chose Riak, the data model and indexes, and strategies for working with eventually consistent data.
Robin Johnson discusses using a data management model for games that can be scaled, and the bottlenecks and challenges met by OMGPOP scaling to millions of users.
Claudia Perlich keynotes on M6D’s approach to Big Data, using data granularity to build predictive models used for user targeting, bid optimization and fraud detection.
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.
Kenneth M. Anderson shares some of the data modeling issues encountered while transitioning from a relational database to NoSQL.
Terry Bunio discusses applying Agile principles to building a data warehouse based on a data model and making use of visualization tools.
Peter Bell presents several patterns for modeling and retrieving data from graph databases using Neo4j in his examples.
Ian Plosker explains why a data model needs to follow the query patterns when using a NoSQL storage solution.
Joe Pamer presents what Type Providers coming in F# 3.0 are: a mechanism for accessing a multitude of external data source.