Neha Narula provides advice on choosing a data store for a web applications and executing distributed queries.
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.
Zardosht Kasheff suggest using 3 rules for indexing SQL databases: Retrieve less data, Avoid point queries, and Avoid sorting.
Rich Hickey introduces Datomic, including architectural and implementation details.
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.
Robert Winch explains how to secure a multi-tenant application with Spring Security and how to enable OAuth 2.
Rich Hickey discusses the design decisions made for Datomic, a database for JVM languages: what problems they were trying to solve with it, the solutions chosen, and their implementations.
Pramod Sadalage discuses several patterns in database changes related to Architecture, Structure, Data Quality, Referential Integrity, Database Code, along with associated practices.
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.
Rick Bullotta and Emil Eifrem discuss how to use graph databases to model the real world, people, systems and things, talking advantage of the relationships between various data elements.
CouchDB is a schema-free document database. But now that the NoSQL movement is in full swing, there are several document databases to choose from, so why choose Couch?
Roger Bodamer provides advice on scaling out MongoDB using replica sets and auto-sharding, plus tips for database deployment and scaling use cases.