Librería: Orion Tech, Kingwood, TX, Estados Unidos de America
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Añadir al carritopaperback. Condición: Fair.
Idioma: Inglés
Publicado por O'Reilly Media (edition 1), 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
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Idioma: Inglés
Publicado por O'Reilly Media, Incorporated, 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
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Añadir al carritoPaperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Añadir al carritopaperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 30,75
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
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Añadir al carritoCondición: 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. . . . . .
Idioma: Inglés
Publicado por O'Reilly Media 11/3/2012, 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
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Añadir al carritoPaperback or Softback. Condición: New. Spring Data: Modern Data Access for Enterprise Java. Book.
EUR 57,22
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Añadir al carritoCondición: 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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Añadir al carritopaperback. Condición: Gut. 312 Seiten; 9781449323950.3 Gewicht in Gramm: 1.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
Librería: Revaluation Books, Exeter, Reino Unido
EUR 57,22
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Añadir al carritoPaperback. Condición: Brand New. 1st edition. 288 pages. 9.25x7.00x0.75 inches. In Stock.
Librería: BennettBooksLtd, Los Angeles, CA, Estados Unidos de America
EUR 76,75
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Añadir al carritopaperback. Condición: New. In shrink wrap. Looks like an interesting title!
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Añadir al carritoCondición: 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.
EUR 35,81
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por O'reilly Media Nov 2012, 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 60,72
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Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
Librería: Revaluation Books, Exeter, Reino Unido
EUR 44,68
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 1st edition. 288 pages. 9.25x7.00x0.75 inches. In Stock. This item is printed on demand.