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Description
Java Persistence with Spring Data and HibernateJava Persistence with Spring Data and Hibernate explores persistence with the most popular available tools. You'll benefit from detailed coverage of Spring Data JPA, Spring Data JDBC, Spring Data REST, JPA, and Hibernate, comparing and contrasting the alternatives so you can pick what's best for your code. Begin with a hands on introduction to object relational mapping (ORM), then dive into mapping strategies for linking up objects and your database.
Java Persistence with Spring Data and Hibernate explores persistence with the most popular available tools. You'll benefit from detailed coverage of Spring Data JPA, Spring Data JDBC, Spring Data REST, JPA, and Hibernate, comparing and contrasting the alternatives so you can pick what's best for your code. Begin with a hands-on introduction to object-relational mapping (ORM), then dive into mapping strategies for linking up objects and your database. You'll learn about the different approach to transactions for both Hibernate and Spring Data, and even how to deliver Java persistence with non-relational databases. Finally, you'll explore testing strategies for persistent applications to keep your code clean and bug free.
| EAN: | 9781617299186 |
| Farbverschnitt: | Generell werden die Bücher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen. |
| Erscheinungsjahr: | 13.02.2023 |
| Autoren: | Tudose, Catalin & Bauer, Christian & King, Gavin |
| Seitenzahl/Blattzahl: | 562 |
| Themenüberschrift: | COMPUTERS / Databases / General~COMPUTERS / Programming / Object Oriented~COMPUTERS / Programming Languages / Java |
| Keyword: | JPA; REST; JDBC; QueryDSL; object relational mapping; querying; non-relational databases; testing; fetch plans; profiles; entity associations; inheritance |
| Fachschema: | Objektorientiert (EDV)~Microsoft SharePoint (WebServices, Portal)~Web Services (EDV)~Programmiersprachen~Database~Datenbank~Intelligenz / Künstliche Intelligenz~KI~Künstliche Intelligenz - AI~Übersetzung |
| Fachkategorie: | Objektorientierte Programmierung (OOP)~Programmier- und Skriptsprachen, allgemein~Datenbanken~Natürliche Sprachen und maschinelle Übersetzung |
| Länge: | 233 mm |
| Breite: | 187 mm |
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