Spring Data-Oliver Gierke PDF Download

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

Author: Pollack, Mark
Author: Gierke, Oliver
Author: Risberg, Thomas
Publisher: O'Reilly Media
Illustration: N
Language: ENG
Title: Spring Data
Pages: 00314 (Unencrypted EPUB)
On Sale: 2012-10-12
SKU-13/ISBN: 9781449323950
Category: Computers : Database Management - Database Mining
Category: Computers : Database Management - Data Warehousing