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 No SQL and Hadoop.Through several sample projects, youll learn how Spring Data provides a consistent programming model that retains No SQL-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 functionality Explore Spring Datas repository abstraction and advanced query functionality Use Spring Data with Redis (key/value store), HBase(column-family), Mongo DB (document database), and Neo4j (graph database)Discover the Gem Fire 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
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