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.
Dragos Manolescu introduces some of the new features in Windows Phone Mango - TCP and UDP sockets, network preferences and local storage –, discussing their optimization for lower power consumption.
Oliver Gierke demoes using Spring Data JPA to create repositories using a Domain-driven Design approach.
Jeff Markham introduces Roo and SQLFire along with a demonstration of using AspectJ for SQLFire administration.
Joe Pamer presents what Type Providers coming in F# 3.0 are: a mechanism for accessing a multitude of external data source.
Thomas Risberg and Jared Rosoff show how to create Spring applications using Spring Data and MongoDB, applications deployed on Cloud Foundry.
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