Post Description

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, you’ll 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. You’ll also discover the features Spring Data adds to Spring’s existing JPA and JDBC support for writing RDBMS-based data access layers.

    Learn about Spring’s template helper classes to simplify the use ofdatabase-specific functionality
    Explore Spring Data’s 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

By Mark Pollack, Oliver Gierke, Thomas Risberg, Jon Brisbin, Michael Hunger
Publisher: O'Reilly Media
Released: October 2012
Pages: 316
gepost door : Rockhound57