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Spring Data: Modern Data Access for Enterprise Java

Spring Data: Modern Data Access for Enterprise Java

          
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About the Book

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 of database-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


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Product Details
  • ISBN-13: 9781449323950
  • Publisher: O'Reilly Media
  • Publisher Imprint: O'Reilly Media
  • Depth: 19
  • Height: 231 mm
  • No of Pages: 312
  • Series Title: English
  • Sub Title: Modern Data Access for Enterprise Java
  • Width: 179 mm
  • ISBN-10: 1449323952
  • Publisher Date: 13 Nov 2012
  • Binding: Paperback
  • Edition: 1
  • Language: English
  • Returnable: Y
  • Spine Width: 17 mm
  • Weight: 512 gr


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