Eric Brewer takes a look at NoSQL’s history and considers what should be done so the current NoSQL solutions to evolve in order to address the full range of the application needs.
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 shows how to build Spring apps on Google App Engine, covering performance Google SQL Service and other advanced topics.
Justin Dearing introduces MongoDB, and shows how to interact with Mono via the official 10gen driver. Techniques for handling business logic in application code, such as LINQ are discussed.
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.