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 ofdatabase-specific functionalityExplore Spring Datas repository abstraction and advanced query functionalityUse Spring Data with Redis (key/value store), HBase(column-family), MongoDB (document database), and Neo4j (graph database)Discover the GemFire distributed data grid solutionExport Spring Data JPA-managed entities to the Web as RESTful web servicesSimplify the development of HBase applications, using a lightweight object-mapping frameworkBuild example big-data pipelines with Spring Batch and Spring Integration

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 ofdatabase-specific functionalityExplore Spring Datas repository abstraction and advanced query functionalityUse Spring Data with Redis (key/value store), HBase(column-family), MongoDB (document database), and Neo4j (graph database)Discover the GemFire distributed data grid solutionExport Spring Data JPA-managed entities to the Web as RESTful web servicesSimplify the development of HBase applications, using a lightweight object-mapping frameworkBuild example big-data pipelines with Spring Batch and Spring Integration