Isbn: 9781449323950 - spring data: modern data access for enterprise java (11 Ergebnisse)

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Zustand: New. In English.

Zustand: New. 2012. 1st Edition. Paperback. Relational database technologies continue to be predominant in Java enterprise applications, but with newer technologies such as NoSQL databases and Hadoop available, RDBMS is no longer considered a "one size fits all" solution. This book shows you how to increase your options with Spring's data access framework. Num Pages: 316 pages, Illustrations. BIC Classification: UNF. Category: (XV) Technical / Manuals. Dimension: 233 x 179 x 17. Weight in Grams: 550. . . . . . Books ship from the US and Ireland.…

Paperback. Zustand: Brand New. 1st edition. 288 pages. 9.25x7.00x0.75 inches. In Stock.

Zustand: New. Relational database technologies continue to be predominant in Java enterprise applications, but with newer technologies such as NoSQL databases and Hadoop available, RDBMS is no longer considered a one size fits all solution. This book shows you how to i.

Taschenbuch. Zustand: Neu. Neuware - 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.…