Isbn: 9781449323950 - spring data: modern data access for enterprise java (27 Ergebnisse)

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Paperback. Zustand: New. As a developer of Java enterprise applications, you can choose among several data access frameworks when working with relational databases. But what do you turn to when working with newer technologies such as NoSQL databases and Hadoop? This book shows you how Spring's data access framework can help you connect to either non-relational or relational databases, or a combination of the two. You'll learn how Spring Data's familiar and consistent programming model greatly reduces the learning curve for creating applications with newer data access technologies. And you'll discover how to use Spring Data's improved JPA and JDBC support to increase your productivity when writing RDBMS-based data access layers. Relational database technologies continue to be predominant in the enterprise, but they're no longer considered a "one size fits all" solution. This book shows you how to increase your options.…

Paperback or Softback. Zustand: New. Spring Data: Modern Data Access for Enterprise Java. Book.

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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. . . . . .…

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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.…

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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.…

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.

Paperback. Zustand: New. As a developer of Java enterprise applications, you can choose among several data access frameworks when working with relational databases. But what do you turn to when working with newer technologies such as NoSQL databases and Hadoop? This book shows you how Spring's data access framework can help you connect to either non-relational or relational databases, or a combination of the two. You'll learn how Spring Data's familiar and consistent programming model greatly reduces the learning curve for creating applications with newer data access technologies. And you'll discover how to use Spring Data's improved JPA and JDBC support to increase your productivity when writing RDBMS-based data access layers. Relational database technologies continue to be predominant in the enterprise, but they're no longer considered a "one size fits all" solution. This book shows you how to increase your options.…

Paperback. Zustand: Brand New. 1st edition. 288 pages. 9.25x7.00x0.75 inches. In Stock. This item is printed on demand.