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paperback. Condition: Fair.
Language: English
Published by O'Reilly Media (edition 1), 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
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Paperback. Condition: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Language: English
Published by O'Reilly Media, Incorporated, 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
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Paperback. Condition: 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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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by O'Reilly Media 11/3/2012, 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Spring Data: Modern Data Access for Enterprise Java. Book.
paperback. Condition: Gut. 312 Seiten; 9781449323950.3 Gewicht in Gramm: 1.
Language: English
Published by Oreilly & Associates Inc, 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 1st edition. 288 pages. 9.25x7.00x0.75 inches. In Stock.
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.
paperback. Condition: New. In shrink wrap. Looks like an interesting title!
Language: English
Published by O'reilly Media Nov 2012, 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Language: English
Published by Oreilly & Associates Inc, 2012
ISBN 10: 1449323952 ISBN 13: 9781449323950
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 1st edition. 288 pages. 9.25x7.00x0.75 inches. In Stock. This item is printed on demand.