Zardosht Kasheff suggest using 3 rules for indexing SQL databases: Retrieve less data, Avoid point queries, and Avoid sorting.
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.
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.
Talk #1: Stefan Edlich suggests choosing a NoSQL DB after answering about 70 questions in 6 categories, and building a prototype. Talk #2: Edlich presents NewSQL solutions counteracting NoSQL.
Ben Stopford takes a look at the Big Data movement, its development and implications, reflecting on a future where NoSQL solutions and traditional ones coexist.
James Phillips presents the origins of NoSQL, followed by a comparison of various NoSQL solutions and ending with an architect’s view of Couchbase.
Chris Richardson shows how he ported a relational database to three NoSQL data stores: Redis, Cassandra and MongoDB.
Chris Ramsdale will get you up and running building Spring apps on Google App Engine. He'll go step-by-step building a real Spring app and identify not only the basics of App Engine, but more advanced topics such as integrating with Google's SQL Service and using App Engine's "Always on" feature to ensure high performance.
Justin Dearing presents a brief introduction to MongoDB, and focuses on interacting with it in Mono via the official 10gen driver. Techniques for handling business logic in application code, such as LINQ are discussed. This is a very code centric talk.
Jags Ramnaraya presents SQLFire and how SQL can be used for modern data stores backing online highly scalable applications by using a different consistency model and sharing nothing persistence.
Jason Sobel presents the evolution of Facebook’s infrastructure over time, from the original LAMP stack to the present multi-datacenter configuration, the challenges faced and plans for the future.