Oliver Gierke introduces Spring Data repositories along with best practices and implementation patterns, followed by guidelines for integrating repositories with Spring MVC and REST web services.
Mark Johnson and David Turanski introduce Spring Data for GemFire demoing using Spring Data for persistency across multiple distributed database grids.
Rich Hickey deconstructs the monolithic database into separate services, transactions, storage, query, combining them with a data model based on atomic facts to provide new capabilities and tradeoffs.
Jon Brisbin explains how to expose JPA entities via the Spring Data Repository abstraction and then exporting them to HTTP using Spring Data REST.
Adrian Colyer, Juergen Hoeller, Mark Pollack and Graeme Rocher present SpringSource’s Unifying Component Model, current developments regarding Big Data, and betting on Grails.
Nathan Marz outlines several sources of complexity introduced in data systems - Lack of human fault-tolerance, Conﬂation of data and queries, Schemas done wrong - and what can be done to avoid them.
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.
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.
Rich Hickey discusses the complexity introduced by a database into a system, and a way to deal with it by using Datomic. He also discusses immutability, epochal time, and persistent data structures.
Ashish Thusoo presents the data scalability issues at Facebook and the data architecture evolution from EDW to Hadoop to Puma.
Sastry Malladi discusses the performance implications of using various data formats and versioning across eBay, showing the results of certain benchmarks concluding that JSON is the best format.
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