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, youll 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. Youll also discover the features Spring Data adds to Springs existing JPA and JDBC support for writing RDBMS-based data access layers.Learn about Springs template helper classes to simplify the use of database-specific functionality Explore Spring Datas 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 Integration.

author	Mark Pollack/Oliver Gierke/Thomas Risberg/Jon Brisbin/Michael Hunger
pages	316
edition	1
category	Computers & Technology / Databases / Data Mining /
category	Computers & Technology / Databases / Data Warehousing /
category	Computers & Technology / Programming / Java /
category	Computers & Technology / Programming / Languages & Tools /
category	Education & Reference /
publication date	31-October-2012
isbn	1449323952 9781449323950

Download