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Spring Data
V413HAV For More Quality Uploads : Kickass Torrents : https://kat.ph/user/V413HAV/ V413HAV On Facebook E-Book On Amazon Support The Developers. If You Like It, Buy It. Formats: EPUB, PDF Book 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 Table of Contents Part I: Background Chapter 1. The Spring Data Project Chapter 2. Repositories: Convenient Data Access Layers Chapter 3. Type-Safe Querying Using Querydsl Part II: Relational Databases Chapter 4. JPA Repositories Chapter 5. Type-Safe JDBC Programming with Querydsl SQL Part III: NoSQL Chapter 6. MongoDB: A Document Store Chapter 7. Neo4j: A Graph Database Chapter 8. Redis: A Key/Value Store Part IV: Rapid Application Development Chapter 9. Persistence Layers with Spring Roo Chapter 10. REST Repository Exporter Part V: Big Data Chapter 11. Spring for Apache Hadoop Chapter 12. Analyzing Data with Hadoop Chapter 13. Creating Big Data Pipelines with Spring Batch and Spring Integration Part VI: Data Grids Chapter 14. GemFire: A Distributed Data Grid Book Details Paperback: 316 pages Publisher: O’Reilly Media (October 2012) Language: English ISBN-10: 1449323952 ISBN-13: 978-1449323950 Related Torrents
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