Spring Data
You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop. Through several sample projects, youall learn how Spring Data provides a consistent programming model that retains NoSQL-specific features and capabilities, and helps you develop Hadoop applications across a wide range of use-cases such as data analysis, event stream processing, and workflow. Youall also discover the features Spring Data adds to Springas existing JPA and JDBC support for writing RDBMS-based data access layers. Learn about Springas template helper classes to simplify the use of database-specific functionality Explore Spring Dataas repository abstraction and advanced query functionality Use Spring Data with Redis (key/value store), HBase (column-family), MongoDB (document database), and Neo4j (graph database) Discover the GemFire distributed data grid solution Export Spring Data JPA-managed entities to the Web as RESTful web services Simplify the development of HBase applications, using a lightweight object-mapping framework Build example big-data pipelines with Spring Batch and Spring IntegrationSpring Batch in Action, Manning Publications Co., 2011. http://www.man ning. com/templier [Evans03] Evans, Eric. ... The Spring Data Neo4j Guide Book, InfoQ, 2012. http://www.infoq.com/minibooks/good-relationships-spring-data [Konda12] anbsp;...
| Title | : | Spring Data |
| Author | : | Mark Pollack, Oliver Gierke, Jonathan Brisbin, Thomas Risberg, Michael Hunger |
| Publisher | : | "O'Reilly Media, Inc." - 2012-10-24 |
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