Darach Ennis investigates data distribution biased for occasionally connected near-real-time data streaming in low fidelity environments with traditional messaging and discusses the nuances, tradeoffs and considerations that require a very different approach from traditional practices.
Gray Brooks discusses the efforts around creating APIs for accessing the vast amounts of data administered by the US Government.
Reza Rahman shows code samples for some of the APIs coming in Java EE 7, such as JMS 2, WebSocket, JSON, JAX-RS 2, JPA 2.1, JTA 1.2, etc. and takes a peek at Java EE 8 features to be expected.
Mark Pollack provides a guided tour plus demos of the Spring Data feature set.
Jim Coplien believes that we have done OOP the wrong way for 40 years, and suggests an approach to reflection based on the DCI paradigm and influenced by the human society.
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.
CONTENT IN THIS BOX PROVIDED BY OUR SPONSOR
- 10 Things Developers Should Know about Couchbase
- When one is better than two: Collapsing data management layers for scalability and simplicity
- Couchbase NoSQL @ Tunewiki : A billion documents and counting
- The Essential Couchbase APIs Cheat Sheet
- Why MySQL 5.6 is no real threat to NoSQL
- How to Move from MySQL to Couchbase Server 2.0: Part 1
- Making Sense of NoSQL
- Couchbase in Action – Real world app demo
- Making the Shift from Relational to NoSQL